This document discusses open data and big data. It defines open data as publicly available data that anyone can access, use and share, while big data refers to large and complex datasets. Open data could grow into big data as more data is published. The document provides an overview of linked open data standards and technologies like RDF and SPARQL that help structure and connect open datasets. It emphasizes the importance of not just publishing data but also developing applications that make use of open data through hackathons and other initiatives.
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Open Data and Big Data Explained
1. OPEN DATA, BIG DATA STORY
Ratko Mutavdzic, PROJEKTURA, Experience Architect
2. OPEN DATA VS. BIG DATA
•
•
•
•
•
Open Data =/= Big Data (usually)
Big Data = Open Data (usually)
Open Data could grow to Big Data
Big Data = BUSINESS THEN TRANSPARENCY (Business Conversation)
Open Data = TRANSPARENCY THEN BUSINESS (Government Conversation)
THE NEW REALITY BUT TWO DIFFERENT THINGS
3. OPEN DATA
International Right-To-Know Goal
“to raise global awareness of individuals’ right to access
government information”, and
„to promote access to information as a fundamental human
right”
THE NEW REALITY
2006 EC MEPSIR Study
5. PUBLIC DATA
OPEN FORMATS
MACHINE READABLE
ACCESSIBLE
WHAT MAKES DATA OPEN
• open format
• publised via industry standards like XML, RDF, HTML, CSV for data, PDF
for documents
• metadata
• published via standards like Dublin Core
• catalouge of open data sources
• http://logd.tw.rpi.edu/
right information is available for people to make a right decisions
... at all levels of the organization
6. PUBLIC INFORMATION POOL
Public Information / Content Pool
CATEGORY
Public Sector
Information
Public Sector
Content
EXAMPLE
geo data, statistical
data, other numbers
geo data, statistical
data, other numbers
OBJECTIVE
INFORMATION
RE-USE
CONTENT
AVAILABILITY
CHARACTERISTICS
source: adapted from OECD, 2006
• transformation of
raw data by value
addition
• frequent
combination of
information types
• education and
cultural value
• limited commercial
exploatation
• content not
transformed
14. WHAT IS LINKED OPEN DATA?
ima zabavni život
ima sportska događanja
ima financije
ima sveučilište
OSIJEK
ima državnu upravu
ima zapošljavanje
15. LINKED OPEN DATA
Facilitating data integration through:
• Common data model
• Building relations
2 KEY INGREDIENTS
tbd
16. KEY INGREDIENTS
1.
2.
RDF RESOURCE DESCRIPTION FRAMEWORK (GRAPH BASED DATA)
•
identifies objects (URIs)
•
interlink information (Relationships)
VOCABULARIES (ONTOLOGIES)
•
provide shared understanding of data
•
organize knowledge in a machine comprehensible way
•
give an exploitable meaning to the data
2 KEY INGRIDIENTS
tbd
17. LINKED OPEN DATA
make your stuff available on the Web (whatever format) under an open licence
make it available as structured data (e.g. Excel instead of image scan of a table)
use non-proprierary format (e.g. CSV instead of Excel)
user URI to denote things, so that people can point at your stuff
link your data to other data to provide context
5 STARS OPEN DATA MODEL
Tim Berners-Lee, Linked Data initiative
http://lab.linkeddata.deri.ie/2010/star-scheme-by-example
18. ON WEB, OPEN LICENSE
•
•
ON THE WEB
•
wide access
•
google can index it
•
people can find it themselves
OPEN LINCENCE
•
regulate reuse of data
•
helps maintain provenance
•
strengthens business reuse
1 STAR
http://opendefinition.org/licenses/
21. NON PROPRIETARY FORMATS
•
•
•
Freedom of how to process, analyse and visualise data
PROPRIETARY
•
DOCX, XLSX, PDF
NON PROPRIETARY
•
CSV, XML, JSON, MICRODATA, RDF
3 STAR
http://opendefinition.org/licenses/
22. USE OF URI
•
Unique identifiers enable others to point to the data
4 STAR
http://opendefinition.org/licenses/
23. LINKING DATA (AND RDF)
•
•
„Linked Data” approach have its use cases in Web Applications with LOT of
Data and little Semantics
Example: definme simple relationship and apply to large, heterogenous data
collections
5 STAR: Link your data to other data to provide context
http://lod-cloud.net
24. RESOURCE DESCRIPTION FRAMEWORK
•
•
•
Web is a global, universal information space for documents
Can we do the same for DATA and make the web into a database?
RDF is the DATA FORMAT for that database
Part fo the 5 STAR story
http://lod-cloud.net
25. RDF 101
small pieces, loosely joined, easy to reuse, easy to recombine, unexpected reuse, iterative
27. TYPICAL DATABASE TABLE
ISBN
AUTHOR
PUBLISHERID
PAGES
112349987
Practical RDF
David Nelson Jr.
11692
443
234998021
C# for Dummies
Rick Torrensen
11692
1120
501334301
Calling the Stack
Shelly Monroe
45009
128
...
...
properties
subjects
TITLE
Part of the 5 STAR story
http://lod-cloud.net
Intersection is a
property of the
subject
31. USING THE WEB INFRASTRUCTURE
•
•
•
•
For Web scale database we need to be able to identify things globally and
uniquely
URI (URLs) already provide those capabilities
Name things with URIs, specifically http://
This is THE KEY to linked data
Part of the 5 STAR story
http://lod-cloud.net
32. RDF IN PRACTICE
named resources
http://example.
com/thing
named relations
numeric values and
literals
http://example.com/rel
„text”
http://example.com/other
3.141592
•
•
•
•
The URI identifies the thing you are describing
If two people create data using the same URI then they are describing the same thing
That makes it easy to merge data from different sources together
RDF data can use URIs from many different websites
33. OPEN LINKED DATA IN U.K.
open.data.gov.uk
Cloud
Monitors air and
water quality
Citizens rate quality
via SMS
35. SPARQL
•
Query language of the semantic web. It lets us:
• Pull values from STRUCTURED and SEMI STRUCTURED data
• Explore data by querying UNKNOWN RELATIONSHIPS
• Perform, COMPLEX JOINS OF DISPARATE DATABASES
• Transforms RDF from one vocabulary to another
Common understaning about „things”
supports the automatic generation of new information
36. SPARQL
# prefix declarations
PREFIX foo: <http://example.com/resources/>
...
# dataset definition
FROM ...
# result clause
SELECT ...
# query pattern
WHERE {
...
}
# query modifiers
ORDER BY ...
Common understaning about „things”
supports the automatic generation of new information
38. HACKATONS: DATA + APPLICATIONS!
•
•
•
•
value is not in the raw data alone (but the data
needs to be published first!)
applications for use of the data is key to open
data success
size of the application does not guarantee its
value and success
value to the Citizen is the bottom line
BE SURE THAT YOU HAVE APP BUILDING PROCESS
… or paid teams, unpaid volunteers, hackatons, open data camps, student competitions
39. MANY FORMS, SAME PURPOSE
FOR EXAMPLE, INVOLVE… HACKATONS
strange word for a noble cause. building together the future in… 48 hours.
40. PROTOTYPES
OR RESULTS COMING FROM HACKATONS
but also many different scenarios of organization and citizen engagement resulting in apps
43. ARCHITECTURE FOR OPEN: HYBRID?
Department A
Internal Private
PORTAL
Everybody
is using
External Public
PORTAL
is publishing
Department B
Published Data
Agency
Internal Network
Model that controls sensitive data and supports external scalability and availability. Brigde to PUBLIC.
Keywords: Public and Private Cloud. Provider Datacenter. SLA.
Published Data
External Network
44. CURRENT VIEW ON OPTIONS
solutions on MS
solutions on Linux
?
CKAN
ODGI
MS VM
LINUX VM
PaaS
private infrastructure
Private Cloud
private infrastructure that can be built
on Microsoft or Linux based stack
SOCRATA
CKAN
IaaS (LINUX VM)
public azure infrastructure
Public Cloud (MS AZURE)
public Microsoft Azure cinfrastructure supporting
„pure play” PaaS solutions and VM based solutions
(MS and nonMS)
SOCRATA
CKAN
IaaS (LINUX VM)
public cloud infrastructure
Public Cloud (nonMS)
public cloud infrastrucutre non
Microsoft (usually AWS or
OpenStack or …)
45. CKAN
• fully featured, mature, open source data management solution:
• publish and find datasets
• store and manage data
• engage with users and others
• customize and extend
• rich user base: data.gov.uk, publicdata.eu,…
OPEN SOURCE DATA PORTAL SOFTWARE
CKAN is open source and can be downloaded and used for free
47. CIO
„Big Data is the frontier of a firm’s ability to
store, process, and access (SPA) all of the data
it needs to operate, make decisions, reduce
risks, and serve customers.”
“Predictive analytics solutions allow firms to
discover, evaluate, optimize, and deploy
predictive models by analyzing data sources to
improve business outcomes.”
Source: Forrester, „Evaluating Big Data Predictive Analytics Solutions”, 2012
48. Internet of Things
Internet of Everything
source: „US Unprepared for Internet Device Flood”, Kurt Stammbergerm MOCANA
49. Examples of New MultiStructured Data
Data types collected as big data and/or with advanced analytics
Structured (tables, records)
Complex (hierarchical or legacy)
Unstructured (text, audio, video)
Web logs and clickstreams
Machine-generated (sensors, RFID, devices)
Other
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
source: „Big Data Analytics”, survey of 325 companies, TDWI 2011
50. Key Elements of Big Data
Analytics and
Use
BIG ANALYTICS
DATA USE
Applications
Development
DATA
Analytics
BI and
Visualization
BIG DATA
Structured
Unstructured
Hadoop
Data Management
and Storage
source: „Understanding te elements of Big Data”, Karmasphere, 2011
51. New Questions
Where is BigData coming from... today
New era of computing
VOLUME: SIZE
SOCIAL ANALYTICS: What’s the
social sentiment of my product?
VELOCITY: SPEED
LIVE DATA FEED: How do I optimize
my services based on patterns of
weather, traffic, etc.?
VARIETY: STRUCTURE
ADVANCED ANALYTICS: How do I
better predict future outcomes?
•
•
•
•
twitter
facebook
google
people
12+ TB of tweet data every day
25+ TB of logs data every day
XX+ TB of search logs every day
2+ bilion people on the web today
•
•
•
•
RFID
smart meters
GPS devices
trade
30 billion RFID tags today
76 million smart meters today
100+ millions GPS devices per year
5 mililon trade events per second
•
•
phone cams
cameras
4,6 billion cams today
100+ thousands video feeds from surveillance
Two types of Big Data
• Data in Movements (Streams)
• Data at Rest (Oceans)
... so that is not our ordinary enterprise environment? Well...
52. They are all using BigData approach
and combine that with „socring as a
services mechanisms” like...
So What? Well... Big Data For Finance
KREDITECH
• Looks at 8.000 indicators like
location data, social
graph, behaviooral analytics, ecommerce shopping behavior
and device data...
• So, GPS, likes, friends, locations,
posts, movement, duration on
page, shopping, apps
installed, operating system...
ZESTFINANCE
Credit socring information via big
data, looks at 70.000 signals and
feeds them into 10 spearate
underwriting models
KLOUT
Social Media: Trustworthy Borrowers vs. Defaulters
LENDDO https://www.lenddo.com/
LENDUP https://www.lendup.com/
Looking at applicant’s connection on Facebook and Twitter
Key to get the loan: highly trusted individuals in your social
network
looks at social media activity to ensure that factual data provided
on the online application matches what can be inferred from
Facebook and Twitter.
WONGA https://www.wonga.com/
considers the time of the day and the way a candidate clicks
around the site in determining whether to grant a loan
53. Early operator initiatives will still
involve a strong element of
traditional business intelligence
and analytics: structure records:
Call and Billing
Records, Electronic Data
Records, Location Records...
So What? Well... Big Data for Telcos
Unstructured: Phone Calls, Text
Messages, Social Media posts...
•
Telco: competition in a mature market
•
Two different strategies for growth and mature markets:
•
•
Classical BigData problems: Churn Management (on prepaids)
•
•
•
Growth: aquisition strategy, simple BI needs (reporting)
Mature: differentiation strategy, complex BI needs (data mining)
When to engage (mid of billing cycle) www.globys.com
When not to engage (leave good customers alone) www.venda.com
How telcos can invent business models?
•
•
•
•
IMPROVE SERVICES: Data = Improved Business (Amazon)
MOBILE ADVERTISING: Data = Better Advertising (Google)
SELL ACCESS TO INSIGHTS: Data = Business (comScore)
BECOME GATEKEEPER: Data = Personal Risk (www.reputation.com )
54. OPEN DATA + BIG DATA?
• OPEN DATA
• You can fetch and use any data that exist around. You can connect that
data to any other source and personalize the use.
• BIG DATA
• You can fetch and use any volume of data that is flowing from devices
around you and from your own usage.
• OPEN BIG DATA
• WE CAN PREDICT AND REACT TO ANY ACTION IMMIDIATELLY
IMAGINE THE WORLD...
Where you dont have control over the things that happen around you.
55. INTRO
just a few words about me
so, if
• Ratko Mutavdzic is founder of PROJEKTURA, consulting company that work
with new and emerging technologies and introduce them to the corporate and
enterprise environments. Prior to this one, he spent 15 years Microsoft, starting
in a consulting practice and then leading several different sales and technology
teams.
• He is the author of number of published papers on different aspects of the
technology, successful blogs on new technologies and project
management, and active contributor in a number of social networks exploring
the use and advance of new ways to connect and share innovation and
invention.
• He frequently speaks on conferences, meetings, workshops, coffee shops and
generally our heads... people like to
we all nodat every place wherewe can continue...
explore, challenge, investigate, think and innovate.
• Keywords: change, project, program, portfolio, innovation, startup
note: more contact info on a last slide
Editor's Notes
Timing:Objective: Talk aboutoriginsof Open Governmentin Europe.Talking Points:Many licenses proposed:OpenData Commons proposes three licenses:Public Domain Dedication and License (PDDL)Attribution License (ODC-By)Open Database License (ODC-ODbL) - Like the GPL (or CC Attribution Share-Alike) requires public reusers of your data to share back changes (and attribute)Opendefinition gives a list of licences conformant or not to “open” definitionMany national licenses:CanadaUKNorwayItaly
Timing:Objective: Talk aboutoriginsof Open Governmentin Europe.Talking Points:Many licenses proposed:OpenData Commons proposes three licenses:Public Domain Dedication and License (PDDL)Attribution License (ODC-By)Open Database License (ODC-ODbL) - Like the GPL (or CC Attribution Share-Alike) requires public reusers of your data to share back changes (and attribute)Opendefinition gives a list of licences conformant or not to “open” definitionMany national licenses:CanadaUKNorwayItaly
Timing:Objective: Establish uderstandingwhyopen data isimportant.Talking Points:„higherdegreeofeffectivenessandefficiency”: P.Weiss „BordersinCyberspace:ConflictingPublicSectorInformationPoliciesandtheirEconomicImpacts” ed: US. Department ofCommerce, 2004„strenghten trust inestablishment”: R.Marcella nad G. Baxter: „Informationneed, informationseekingbehaviourandparticipation, witspecial reference to needsrelated to citizenship: resultsofnationalsurvey”, Journal ofDocumentation, vol 56, pp.- 136 – 160, 2002
Timing:Objective: Establish changing expectations of information access and management.Talking Points:Open FormatThe US Government through the Open Government Directive (http://www.whitehouse.gov/omb/assets/memoranda_2010/m10-06.pdf ) defines an open format as “one that is platform independent, machine readable, and made available to the public without restrictions that would impede the re-use of that information.”MetadataThe information about the data being sharedWho produced itWhereWhenUse restrictionsEtc.Use standards such as ADMS or Dublin CoreNew (Search-oriented) Embedded dataset metadata coming
Timing:Objective: Introduce the conecptofexpertsworkingtogether on publishedGovernmentstructured dataTalking Points:from „Government Dana andtheInvisibleHand”, David Robinson, PrincetonCenter for Information Technology Polidy
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Demo CaseTalking Points:
Timing:30 secObjective: To introduce Open Linked Data concepts.Talking Points:n/a
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Demo CaseTalking Points:
Timing:Objective: Introduce the ratingsthat are usuallyassociatedwith Open Data, viathe model thatwasraisedby TBLTalking Points:What are the costs & benefits of ★ Web data?As a consumer ...You can look at it.You can print it.You can store it locally (on your hard drive or on an USB stick).You can enter the data into any other system.You can change the data as you wish.You can share the data with anyone you like.As a publisher ...It's simple to publish.You do not have explain repeatedly to others that they can use your data.“It's great to have the data accessible on the Web under an open license (such as PDDL, ODC-by or CC0), however, the data is locked-up in a document. Other than writing a custom scraper, it's hard to get the data out of the document. ”What are the costs & benefits of ★★ Web data?As a consumer, you can do all what you can do with ★ Web data and additionally:You can directly process it with proprietary software to aggregate it, perform calculations, visualise it, etc.You can export it into another (structured) format.As a publisher ...It's still simple to publish.“Splendid! The data is accessible on the Web in a structured way (that is, machine-readable), however, the data is still locked-up in a document. To get the data out of the document you depend on proprietary software. ”What are the costs & benefits of ★★★ Web data?As a consumer, you can do all what you can do with ★★ Web data and additionally:You can manipulate the data in any way you like, without being confined by the capabilities of any particular software.As a publisher ...⚠ You might need converters or plug-ins to export the data from the proprietary format.It's still rather simple to publish.“Excellent! The data is not only available via the Web but now everyone can use the data easily. On the other hand, it's still data on the Web and not data in the Web.”What are the costs & benefits of ★★★★ Web data?As a consumer, you can do all what you can do with ★★★ Web data and additionally:You can link to it from any other place (on the Web or locally).You can bookmark it.You can reuse parts of the data.You may be able to reuse existing tools and libraries, even if they only understand parts of the pattern the publisher used.⚠ Understanding the structure of an RDF "Graph" of data can be more effort than tabular (Excel/CSV) or tree (XML/JSON) data.You can combine the data safely with other data. URIs are a global scheme so if two things have the same URI then it's intentional, and if so that's well on it's way to being 5 star data!As a publisher ...You have fine-granular control over the data items and can optimize their access (load balancing, caching, etc.)Other data publishers can now link into your data, promoting it to 5 star!⚠ You typically invest some time slicing and dicing your data.⚠ You'll need to assign URIs to data items and think about how to represent the data.⚠ You need to either find existing patterns to reuse or create your own.“Wonderful! Now it's data in the Web. The (most important) data items have a URI and can be shared on the Web. A native way to represent the data is using RDF, however other formats such as Atom can be converted/mapped, if required. ”What are the costs & benefits of ★★★★★ Web data?As a consumer, you can do all what you can do with ★★★★ Web data and additionally:You can discover more (related) data while consuming the data.You can directly learn about the data schema.⚠ You now have to deal with broken data links, just like 404 errors in web pages.⚠ Presenting data from an arbitrary link as fact is as risky as letting people include content from any website in your pages. Caution, trust and common sense are all still necessary.As a publisher ...You make your data discoverable.You increase the value of your data.You own organization will gain the same benefits from the links as the consumers.⚠ You'll need to invest resources to link your data to other data on the Web.⚠ You may need to repair broken or incorrect links.more info: http://www.w3.org/DesignIssues/LinkedData.html
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:Objective: Introduce the Open Data Execution FrameworkTalking Points:
Timing:30 secObjective: To introduce Open Linked Data concepts.Talking Points:n/a
Timing:Objective: Thetruevalueof data canbeshownonlyviaapplicationsthatshouldbebuilt on top ofthe dataTalking Points:
Timing:Objective: Introduce the conecptofexpertsworkingtogether on publishedGovernmentstructured dataTalking Points:Processis SIMPLE: governmentpublish data streams, 3rd partiescreatetools for analysisandoversight, expertscollaboratively monitor theirgovernment, expertsdetectissues, givefeedbackandissues are resolvedExamples: SPECIALIZED SKILLS: PeerToPatent.com (Peer To Patent is a historic initiative by the United States Patent and Trademark Office (USPTO) that opens the patent examination process to public participation for the first time. Peer to Patent is an online system that aims to improve the quality of issued patents by enabling the public to supply the USPTO with information relevant to assessing the claims of pending patent applications.)LOCAL KNOWLEDGE: FixMyStreet.COM (FixMyStreet is a site to help people report, view, or discuss local problems they’ve found to their local council by simply locating them on a map. It launched in early February 2007.)PROFESSIONAL AMATEURS: MapLight.COM (MapLight is a nonpartisan research organization that reveals money’s influence on politics in the U.S. Congress and in the California and Wisconsin Legislatures. We provide journalists and citizens with transparency tools that connect data on campaign contributions, politicians, legislative votes, industries, companies, and more to show patterns of influence never before possible to see. These tools allow users to gain unique insights into how campaign contributions affect policy so they can draw their own conclusions about how money influences our political system.)
Timing:Objective: Introduce the conecptofexpertsworkingtogether on publishedGovernmentstructured dataTalking Points:Processis SIMPLE: governmentpublish data streams, 3rd partiescreatetools for analysisandoversight, expertscollaboratively monitor theirgovernment, expertsdetectissues, givefeedbackandissues are resolvedExamples: SPECIALIZED SKILLS: PeerToPatent.com (Peer To Patent is a historic initiative by the United States Patent and Trademark Office (USPTO) that opens the patent examination process to public participation for the first time. Peer to Patent is an online system that aims to improve the quality of issued patents by enabling the public to supply the USPTO with information relevant to assessing the claims of pending patent applications.)LOCAL KNOWLEDGE: FixMyStreet.COM (FixMyStreet is a site to help people report, view, or discuss local problems they’ve found to their local council by simply locating them on a map. It launched in early February 2007.)PROFESSIONAL AMATEURS: MapLight.COM (MapLight is a nonpartisan research organization that reveals money’s influence on politics in the U.S. Congress and in the California and Wisconsin Legislatures. We provide journalists and citizens with transparency tools that connect data on campaign contributions, politicians, legislative votes, industries, companies, and more to show patterns of influence never before possible to see. These tools allow users to gain unique insights into how campaign contributions affect policy so they can draw their own conclusions about how money influences our political system.)
Timing:Objective: Talk aboutoriginsof Open Governmentin Europe.Talking Points:United States – Open GovernmentTransparency, Participation, CollaborationGreat Britain – Smarter Governmentsome keywordsCivic Society, Local Priorities, Managing Assets Australia – Engage Getting on with Gov 2.0Declaration of Open Gov – key phrases include:“using technology to increase citizen engagement and collaboration …”“public sector information is a national resource”“online engagement by public servants …. should be enabled and encouraged”
Timing:30 secObjective: To introduce Open Linked Data concepts.Talking Points:n/a
Timing:Objective: Introduce the conecptofexpertsworkingtogether on publishedGovernmentstructured dataTalking Points:from „Government Dana andtheInvisibleHand”, David Robinson, PrincetonCenter for Information Technology Polidy
Timing:Objective: Introduce the conecptofexpertsworkingtogether on publishedGovernmentstructured dataTalking Points:from „Government Dana andtheInvisibleHand”, David Robinson, PrincetonCenter for Information Technology Polidy
Timing:Objective: Introduce the conecptofGovernment LAB, and how to let othersexperimentinsteadofGovernmentTalking Points:CKAN (Comprehensive Knowledge Archive Network) is open-source “data hub” software designed to make it easier to find, share, reuse and collaboratively develop data and content, especially open data and contentThe core of CKAN is a powerful registry / catalog system designed for machine interaction so that tasks like registering and acquiring datasets can be automated (though it’s also easy for humans to use too!)Used for http://data.gov.uk and many others:http://wiki.okfn.org/ckan/instancesFree/Open-Source software, written in PythonCore catalog based around Resources (Files and APIs) and groupings of those (Packages)PublishandFindDatasets: Publish datasets via import or through a web interface. Search by keyword or filter by tags. See dataset information at a glance. Full change history lets you easily undo changes or view old versions.Store andmanage Data: Store the raw data and metadata. Visualise structured data with interactive tables, graphs and maps. Get statistics and usage metrics for your datasets. Search geospatial data on a map by areaEngagewithusersandothers: Federate networks with other CKAN nodes. Theme with CSS or integrate with a CMS. Build a community with extensions that allow users to comment on and follow datasetsCustomizeandExtend: Use the API‘s rich programming interface, and benefit from over 60 extensions including link checking, comments, and analytics. CKAN’s Open Sourcelicence allows you to download and run it for free
Timing:30 secObjective: To introduce Open Linked Data concepts.Talking Points:n/a
STAGE 1: Personification of Dumb ObjectsIdentity is provided to selected objects (QR Codes e.g.)Value in interaction with other intelligent systemsSTAGE 2: Partially Autonomous Sensor Network„Things” develop the ability to sense the environment, location and other devicesValue in those things taking action (controlled thermostat e.g.)STAGE 3: Autonomous Independent Devices„Things” dont require interactionTehy sense context and autonomously interact with other things, sensors and servicesMajority of them will be connected to the things that
I’d like to introduce the 3V’s of Big DataIs it big as in Volume? Where your data exceeds limits of physical capabilities of systems today.Is it Velocity? The data is moving at a fast rate and value can decay over time.Is it Variability? of structure from unstructured, semi-structured to highly structured data.Doug Laney http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdfGiven all of this data, and the variety of sources there are new questions that we can answer today that weren’t possible just a few years ago.By asking and answering these questions you canreap the benefits of Big Data.Data is everywhere to be mined, but we have what one can call "the pomegranate problem" Imagine all of your data being inside a pomegranate. When you eat a pomegranate it’s a bit difficult getting into all of the little pieces inside the pomegranate out, it's a bit of work.That’s the process that you need to go through to extract insights out of your data.It’s useful to think of it in this way; where your data is the platform. Not the tooling that surrounds it. It’s all about the data. It’s all about the questions that you ask.The answer is it’s all of the above.Finally some refer to the fourth V of Big data as Value; the value of the insight that can be gained from extracting insight form your Big Data sources.
LENDDO Some—like the Hong Kong-based Lenddo, which currently operates in the Philippines and Colombia—do so by scrutinizing the applicants' connections on Facebook and Twitter. The key to getting a successful loan from Lenddo is having a handful of highly trusted individuals in your social networks. If they vouch for you and you get the loan, your select friends will also be notified of your successes in repaying the loan. (In the past, Lenddo even threatened to notify them—exerting maximum peer pressure—if you had problems repaying the loan.)Similarly, the U.S.-based LendUp, which hands out short-term loans with high interest rates while allowing its most trusted established clients to move to more attractive longer-term packages, looks at social media activity to ensure that factual data provided on the online application matches what can be inferred from Facebook and TwitterSimilarly, the U.S.-based LendUp, which hands out short-term loans with high interest rates while allowing its most trusted established clients to move to more attractive longer-term packages, looks at social media activity to ensure that factual data provided on the online application matches what can be inferred from Facebook and Twitter
The presentations reviewed include:•Clearing the human road block: overcoming departmental silo mentalities, given by WimCasteur, Business Intelligence Manager, Belgacom Group Strategy Customer & Market Intelligence. A great case study on what it takes to consolidate the customer data silos in a telco to start to use big data effectively.•Big Data - Big opportunities - Big risks? Given by Dr. Richard Benjamins, Director Business Intelligence, Telefonica Digital. Good introduction to Big Data and the issues facing Telcos on Big Data; this presentation was quoted throughout the rest of the conference.•Big Data: The Next New Big Revenue Opportunity for Carriers? Given by Kevin SooHoo, Sprint. Excellent and quite frank review of the opportunities and challenges in selling customer insight.•Delta Engagement management, big data for big change, given by Peter Crayfourd, Qifa Solutions. Example of the use of Big Data to review the customers complete experience to make better decisions, and importantly treat people as individuals not segments.•Big Data and Predictive Analytics what we can and cannot achieve with analytical BI tools, given by RokasSalasevicius, Civitta. Refreshingly frank review of the many failures of BI in delivering business results, and links nicely to the points raised by the previous speakers on customer all the data to build a better model enabling treatments to be experimented with and tracked•Moving from traditional to predictive business intelligence: Creating a consistent consumer experience , given by Dejan Radosavljevik Service Intelligence, T-Mobile Netherlands. Excellent case study in using customer insight to better manage the network, spending the network investment where it impacts customer satisfaction.Some of the themes that recurred throughout the event were:•It's about people and process NOT technology.•Most telcos have problems in simply accessing their data with a single view because of organizational silos. This is a major barrier to exist BI, never mind big data.•Privacy is being managed, but operators need to get ahead of the discussion rather that reacting to it. For example in the US we're likely to see much discussion in 2013 given some of the public communications mistakes.•Creating a data business is questionable, the consensus view is the risks outweigh the benefits. We should focus on eating our own dog-food before trying to sell it through a 3rd party that takes most of the value.•We have only begun to scratch the surface on building better customer relationships, offering treatments that work, and better running our network. Big data is essential, taking averages is not longer adequate, rather examining the customer's complete experience with an operator.•The web service providers are encouraging telcos to step-up their game, and though big data is being used as an adjunct to the existing BI and DWH (Data Warehouse) systems we will start to see over the coming year greater experimentation with real-time analytics running on top of the Hadoop cluster.•Its great to see such an IT focused discussion happening within Telco as I've discussed many times our industry is going through an ITization. Though young, this conference provides an important nexus across IT innovations, customer experience management and network operations
Timing:Objective: Introduce the conecptofGovernment LAB, and how to let othersexperimentinsteadofGovernmentTalking Points:CKAN (Comprehensive Knowledge Archive Network) is open-source “data hub” software designed to make it easier to find, share, reuse and collaboratively develop data and content, especially open data and contentThe core of CKAN is a powerful registry / catalog system designed for machine interaction so that tasks like registering and acquiring datasets can be automated (though it’s also easy for humans to use too!)Used for http://data.gov.uk and many others:http://wiki.okfn.org/ckan/instancesFree/Open-Source software, written in PythonCore catalog based around Resources (Files and APIs) and groupings of those (Packages)PublishandFindDatasets: Publish datasets via import or through a web interface. Search by keyword or filter by tags. See dataset information at a glance. Full change history lets you easily undo changes or view old versions.Store andmanage Data: Store the raw data and metadata. Visualise structured data with interactive tables, graphs and maps. Get statistics and usage metrics for your datasets. Search geospatial data on a map by areaEngagewithusersandothers: Federate networks with other CKAN nodes. Theme with CSS or integrate with a CMS. Build a community with extensions that allow users to comment on and follow datasetsCustomizeandExtend: Use the API‘s rich programming interface, and benefit from over 60 extensions including link checking, comments, and analytics. CKAN’s Open Sourcelicence allows you to download and run it for free