SlideShare ist ein Scribd-Unternehmen logo
1 von 12
Linked Data In Action
Using Linked Data to improve your information
KM World / Taxonomy Boot Camp 2017
Jim Sweeney, Senior Product Manager
Taxonomy and Ontology Solutions
Linked Data and the
Semantic Web
• In 1991 Tim Berners-Lee described what
he called the World Wide Web, which
was meant to, “allow links to be made to
any information anywhere.”1
• In the 2010’s we are seeing this concept
realized in Linked Data, utilizing RDF
standards and other technologies such as
SPARQL (Protocol and RDF Query
Language) and JSON (JavaScript Object
Notation).
• With Linked Data protocols, one may
send queries across the web to retrieve
specific information from any source
published in this format.
Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar,
Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/
1 https://www.w3.org/People/Berners-Lee/1991/08/art-6484.txt
A Few Linked Open Data Sources
DBPedia (WikiPedia)
Getty Arts & Architecture
Thesaurus (AAT)
GeoData (Locations)
1,163 Linked
Open Data
Sources at Last
Count
Linking Open Data cloud diagram 2017, by Andrejs Abele, John
P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak.
http://lod-cloud.net/
Linked Open Data Accessibility
• There must be resolvable http:// (or https://) URIs.
• They must resolve, with or without content negotiation,
to RDF data in one of the popular RDF formats (RDFa,
RDF/XML, Turtle, N-Triples).
• The dataset must contain at least 1000 triples.
• The dataset must be connected via RDF links to a dataset
that is already in the diagram. This means, either your
dataset must use URIs from the other dataset, or vice
versa. We arbitrarily require at least 50 links.
• Access of the entire dataset must be possible via RDF
crawling, via an RDF dump, or via a SPARQL endpoint.
RDF and Triples
• RDF or Resource Description Framework
provides standards that we use to uniformly
describe the relationships between nodes, as
well as describe other attributes that we
want to assign to our data as metadata.
• The standard establishes a subject-predicate-
object unit called a triple.
• One such RDF standard, FOAF (Friend of a
Friend), is a collection of relationships and
attributes describing people, their
relationships to one another, and their
activities.
• In this example, we see “Alice” is identified as
a member of a family, organizations, based
near a location, and with a descriptive home
page.
What Linked Data Allows
• The structure of Linked
Data allows us to link to
external sources to
append to and enhance
the information that we
are storing and managing
locally.
• By selecting Sources and
the Properties of those
Sources we can pick and
choose which elements
are relevant to our own
data and link to them.
Joining Linked Data to Your Information
• One is able to perform a
search of the specified
Source, which returns the
previously selected
Properties.
• A Relationship is chosen
and those Properties that
you wish to link to your
internally managed listings
and they will now appear
as a Linked Data attribute
for use with external
applications.
The Benefits of Linked Data Usage
• Leverage the work of external experts rather than
hiring for in-house development.
• Take advantage of a much deeper set of knowledge
than you would normally have access to.
• Access multiple sources and, therefore, multiple
points of view for a broader scope of context.
• Use Linked Data to publish your own information
and make it available via the WWW.
• Enhance Search and Knowledge Retrieval…
Generic search suggests results by
querying Linked Data sources
such as DBPedia.
Relevant results returned via taxonomy
term “roll-up” to related and broader
terminology.
Associated articles and other
information may also be
produced.
The Age of Linked Data
• Linked Data begins to usher in a new age
of the World Wide Web. (Web 3.0 / the
Semantic Web)
• It provides a new world of resources for
the Knowledge Worker
• The hope is that someday more
information than not will be publicly
available via Linked Data for access by
any user of the web.
The Semantic Web is not
a separate Web but an
extension of the current
one, in which information
is given well-defined
meaning, better enabling
computers and people to
work in cooperation.
-Tim Berners-Lee
https://www.brainyquote.com/authors/tim_bernerslee
Jim Sweeney
Sr. Prod. Mgr., Taxonomy and Ontology Solutions
jim.sweeney@synaptica.com
www.synaptica.com

Weitere ähnliche Inhalte

Was ist angesagt?

Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)
Anja Jentzsch
 
2011 05-02 linked data intro
2011 05-02 linked data intro2011 05-02 linked data intro
2011 05-02 linked data intro
vafopoulos
 
2011 05-01 linked data
2011 05-01 linked data2011 05-01 linked data
2011 05-01 linked data
vafopoulos
 

Was ist angesagt? (20)

From Structured Data to Linked Open Governmental Data
From Structured Data to Linked Open Governmental DataFrom Structured Data to Linked Open Governmental Data
From Structured Data to Linked Open Governmental Data
 
Exposing the Hyperlink
Exposing the HyperlinkExposing the Hyperlink
Exposing the Hyperlink
 
Exposing the Hyperlink
Exposing the HyperlinkExposing the Hyperlink
Exposing the Hyperlink
 
Cooking up the Semantic Web
Cooking up the Semantic WebCooking up the Semantic Web
Cooking up the Semantic Web
 
Archives 2.0, the Archives Hub and AIM25
Archives 2.0, the Archives Hub and AIM25Archives 2.0, the Archives Hub and AIM25
Archives 2.0, the Archives Hub and AIM25
 
Semantic Search with Semantic Web
Semantic Search with Semantic WebSemantic Search with Semantic Web
Semantic Search with Semantic Web
 
DataTags: Sharing Privacy Sensitive Data by Michael Bar-sinai
DataTags: Sharing Privacy Sensitive Data by Michael Bar-sinaiDataTags: Sharing Privacy Sensitive Data by Michael Bar-sinai
DataTags: Sharing Privacy Sensitive Data by Michael Bar-sinai
 
Data Repositories Impact
Data Repositories ImpactData Repositories Impact
Data Repositories Impact
 
Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)
 
Sanderson Shout It Out: LOUD
Sanderson Shout It Out: LOUDSanderson Shout It Out: LOUD
Sanderson Shout It Out: LOUD
 
Ziegler Open Data in Special Collections Libraries
Ziegler Open Data in Special Collections LibrariesZiegler Open Data in Special Collections Libraries
Ziegler Open Data in Special Collections Libraries
 
Campaign for Richer Metadata
Campaign for Richer MetadataCampaign for Richer Metadata
Campaign for Richer Metadata
 
2011 05-02 linked data intro
2011 05-02 linked data intro2011 05-02 linked data intro
2011 05-02 linked data intro
 
DM110 - Week 10 - Semantic Web / Web 3.0
DM110 - Week 10 - Semantic Web / Web 3.0DM110 - Week 10 - Semantic Web / Web 3.0
DM110 - Week 10 - Semantic Web / Web 3.0
 
2011 05-01 linked data
2011 05-01 linked data2011 05-01 linked data
2011 05-01 linked data
 
Correcting and Updating the Scholarly Record through CrossMark
Correcting and Updating the Scholarly Record through CrossMarkCorrecting and Updating the Scholarly Record through CrossMark
Correcting and Updating the Scholarly Record through CrossMark
 
Full Erdmann Ruttenberg Community Approaches to Open Data at Scale
Full Erdmann Ruttenberg Community Approaches to Open Data at ScaleFull Erdmann Ruttenberg Community Approaches to Open Data at Scale
Full Erdmann Ruttenberg Community Approaches to Open Data at Scale
 
Open Source Tools Facilitating Sharing/Protecting Privacy: Dataverse and Data...
Open Source Tools Facilitating Sharing/Protecting Privacy: Dataverse and Data...Open Source Tools Facilitating Sharing/Protecting Privacy: Dataverse and Data...
Open Source Tools Facilitating Sharing/Protecting Privacy: Dataverse and Data...
 
Linking up your data
Linking up your dataLinking up your data
Linking up your data
 
Big Data Repository for Structural Biology: Challenges and Opportunities by P...
Big Data Repository for Structural Biology: Challenges and Opportunities by P...Big Data Repository for Structural Biology: Challenges and Opportunities by P...
Big Data Repository for Structural Biology: Challenges and Opportunities by P...
 

Ähnlich wie Linked data 20171106

Linked open data project
Linked open data projectLinked open data project
Linked open data project
Faathima Fayaza
 
Cloud-based Linked Data Management for Self-service Application Development
Cloud-based Linked Data Management for Self-service Application DevelopmentCloud-based Linked Data Management for Self-service Application Development
Cloud-based Linked Data Management for Self-service Application Development
Peter Haase
 
Linked data and the future of libraries
Linked data and the future of librariesLinked data and the future of libraries
Linked data and the future of libraries
Regan Harper
 

Ähnlich wie Linked data 20171106 (20)

Linked open data project
Linked open data projectLinked open data project
Linked open data project
 
Linked Data for the Masses: The approach and the Software
Linked Data for the Masses: The approach and the SoftwareLinked Data for the Masses: The approach and the Software
Linked Data for the Masses: The approach and the Software
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked data
 
Cloud-based Linked Data Management for Self-service Application Development
Cloud-based Linked Data Management for Self-service Application DevelopmentCloud-based Linked Data Management for Self-service Application Development
Cloud-based Linked Data Management for Self-service Application Development
 
Linked Data to Improve the OER Experience
Linked Data to Improve the OER ExperienceLinked Data to Improve the OER Experience
Linked Data to Improve the OER Experience
 
NISO Webinar: Library Linked Data: From Vision to Reality
NISO Webinar: Library Linked Data: From Vision to RealityNISO Webinar: Library Linked Data: From Vision to Reality
NISO Webinar: Library Linked Data: From Vision to Reality
 
Linked Data, Library Users, and the Discovery Tools of the Future
Linked Data, Library Users, and the Discovery Tools of the FutureLinked Data, Library Users, and the Discovery Tools of the Future
Linked Data, Library Users, and the Discovery Tools of the Future
 
Linked data HHS 2015
Linked data HHS 2015Linked data HHS 2015
Linked data HHS 2015
 
The Web of data and web data commons
The Web of data and web data commonsThe Web of data and web data commons
The Web of data and web data commons
 
Linked data and the future of libraries
Linked data and the future of librariesLinked data and the future of libraries
Linked data and the future of libraries
 
(PROJEKTURA) Big Data Open Data story for TGG
(PROJEKTURA) Big Data Open Data story for TGG(PROJEKTURA) Big Data Open Data story for TGG
(PROJEKTURA) Big Data Open Data story for TGG
 
Linked Data
Linked DataLinked Data
Linked Data
 
Llinked open data training for EU institutions
Llinked open data training for EU institutionsLlinked open data training for EU institutions
Llinked open data training for EU institutions
 
Linked (Open) Data
Linked (Open) DataLinked (Open) Data
Linked (Open) Data
 
reegle - a new key portal for open energy data
reegle - a new key portal for open energy datareegle - a new key portal for open energy data
reegle - a new key portal for open energy data
 
A theory of Metadata enriching & filtering
A theory of  Metadata enriching & filteringA theory of  Metadata enriching & filtering
A theory of Metadata enriching & filtering
 
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
 
It19 20140721 linked data personal perspective
It19 20140721 linked data personal perspectiveIt19 20140721 linked data personal perspective
It19 20140721 linked data personal perspective
 
Using Linked Data Resources to generate web pages based on a BBC case study
Using Linked Data Resources to generate web pages based on a BBC case studyUsing Linked Data Resources to generate web pages based on a BBC case study
Using Linked Data Resources to generate web pages based on a BBC case study
 
Linked Data
Linked DataLinked Data
Linked Data
 

Mehr von Synaptica, LLC

Mehr von Synaptica, LLC (10)

Using ontologies for more than information categorization
Using ontologies for more than information categorizationUsing ontologies for more than information categorization
Using ontologies for more than information categorization
 
Text Analytics for Non-Experts
Text Analytics for Non-ExpertsText Analytics for Non-Experts
Text Analytics for Non-Experts
 
Selecting the right database type for your knowledge management needs.
Selecting the right database type for your knowledge management needs.Selecting the right database type for your knowledge management needs.
Selecting the right database type for your knowledge management needs.
 
Taxonomies Crossing Boundaries: Thomson Reuters Life Sciences Taxonomy Use Cases
Taxonomies Crossing Boundaries: Thomson Reuters Life Sciences Taxonomy Use CasesTaxonomies Crossing Boundaries: Thomson Reuters Life Sciences Taxonomy Use Cases
Taxonomies Crossing Boundaries: Thomson Reuters Life Sciences Taxonomy Use Cases
 
SKOS-XL vs. Traditional Term Based Taxonomy Management
SKOS-XL vs. Traditional Term Based Taxonomy ManagementSKOS-XL vs. Traditional Term Based Taxonomy Management
SKOS-XL vs. Traditional Term Based Taxonomy Management
 
Successfully Managing Multilingual Taxonomies: 3 Methods
Successfully Managing Multilingual Taxonomies: 3 MethodsSuccessfully Managing Multilingual Taxonomies: 3 Methods
Successfully Managing Multilingual Taxonomies: 3 Methods
 
Enterprise vs. Federated Taxonomy Management - Taxonomy Boot Camp 2012
Enterprise vs. Federated Taxonomy Management - Taxonomy Boot Camp 2012Enterprise vs. Federated Taxonomy Management - Taxonomy Boot Camp 2012
Enterprise vs. Federated Taxonomy Management - Taxonomy Boot Camp 2012
 
ProQuest Taxonomy Boot Camp Presentation 2008
ProQuest Taxonomy Boot Camp Presentation 2008ProQuest Taxonomy Boot Camp Presentation 2008
ProQuest Taxonomy Boot Camp Presentation 2008
 
Re-engineering Taxonomy Warehouse as an Ontology
Re-engineering Taxonomy Warehouse as an OntologyRe-engineering Taxonomy Warehouse as an Ontology
Re-engineering Taxonomy Warehouse as an Ontology
 
Synaptica Proquest Talk Taxonomy Boot Camp 2009
Synaptica Proquest Talk Taxonomy Boot Camp 2009Synaptica Proquest Talk Taxonomy Boot Camp 2009
Synaptica Proquest Talk Taxonomy Boot Camp 2009
 

Kürzlich hochgeladen

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
VictorSzoltysek
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
mohitmore19
 
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfintroduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
VishalKumarJha10
 

Kürzlich hochgeladen (20)

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...
The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...
The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 
LEVEL 5 - SESSION 1 2023 (1).pptx - PDF 123456
LEVEL 5   - SESSION 1 2023 (1).pptx - PDF 123456LEVEL 5   - SESSION 1 2023 (1).pptx - PDF 123456
LEVEL 5 - SESSION 1 2023 (1).pptx - PDF 123456
 
Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf
Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdfAzure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf
Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf
 
%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
 
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
 
Sector 18, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 18, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 18, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 18, Noida Call girls :8448380779 Model Escorts | 100% verified
 
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
 
%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein
%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein
%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
 
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
 
BUS PASS MANGEMENT SYSTEM USING PHP.pptx
BUS PASS MANGEMENT SYSTEM USING PHP.pptxBUS PASS MANGEMENT SYSTEM USING PHP.pptx
BUS PASS MANGEMENT SYSTEM USING PHP.pptx
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docx
 
AI & Machine Learning Presentation Template
AI & Machine Learning Presentation TemplateAI & Machine Learning Presentation Template
AI & Machine Learning Presentation Template
 
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfintroduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
 

Linked data 20171106

  • 1. Linked Data In Action Using Linked Data to improve your information KM World / Taxonomy Boot Camp 2017 Jim Sweeney, Senior Product Manager Taxonomy and Ontology Solutions
  • 2. Linked Data and the Semantic Web • In 1991 Tim Berners-Lee described what he called the World Wide Web, which was meant to, “allow links to be made to any information anywhere.”1 • In the 2010’s we are seeing this concept realized in Linked Data, utilizing RDF standards and other technologies such as SPARQL (Protocol and RDF Query Language) and JSON (JavaScript Object Notation). • With Linked Data protocols, one may send queries across the web to retrieve specific information from any source published in this format. Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/ 1 https://www.w3.org/People/Berners-Lee/1991/08/art-6484.txt
  • 3. A Few Linked Open Data Sources DBPedia (WikiPedia) Getty Arts & Architecture Thesaurus (AAT) GeoData (Locations)
  • 4. 1,163 Linked Open Data Sources at Last Count Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/
  • 5. Linked Open Data Accessibility • There must be resolvable http:// (or https://) URIs. • They must resolve, with or without content negotiation, to RDF data in one of the popular RDF formats (RDFa, RDF/XML, Turtle, N-Triples). • The dataset must contain at least 1000 triples. • The dataset must be connected via RDF links to a dataset that is already in the diagram. This means, either your dataset must use URIs from the other dataset, or vice versa. We arbitrarily require at least 50 links. • Access of the entire dataset must be possible via RDF crawling, via an RDF dump, or via a SPARQL endpoint.
  • 6. RDF and Triples • RDF or Resource Description Framework provides standards that we use to uniformly describe the relationships between nodes, as well as describe other attributes that we want to assign to our data as metadata. • The standard establishes a subject-predicate- object unit called a triple. • One such RDF standard, FOAF (Friend of a Friend), is a collection of relationships and attributes describing people, their relationships to one another, and their activities. • In this example, we see “Alice” is identified as a member of a family, organizations, based near a location, and with a descriptive home page.
  • 7. What Linked Data Allows • The structure of Linked Data allows us to link to external sources to append to and enhance the information that we are storing and managing locally. • By selecting Sources and the Properties of those Sources we can pick and choose which elements are relevant to our own data and link to them.
  • 8. Joining Linked Data to Your Information • One is able to perform a search of the specified Source, which returns the previously selected Properties. • A Relationship is chosen and those Properties that you wish to link to your internally managed listings and they will now appear as a Linked Data attribute for use with external applications.
  • 9. The Benefits of Linked Data Usage • Leverage the work of external experts rather than hiring for in-house development. • Take advantage of a much deeper set of knowledge than you would normally have access to. • Access multiple sources and, therefore, multiple points of view for a broader scope of context. • Use Linked Data to publish your own information and make it available via the WWW. • Enhance Search and Knowledge Retrieval…
  • 10. Generic search suggests results by querying Linked Data sources such as DBPedia. Relevant results returned via taxonomy term “roll-up” to related and broader terminology. Associated articles and other information may also be produced.
  • 11. The Age of Linked Data • Linked Data begins to usher in a new age of the World Wide Web. (Web 3.0 / the Semantic Web) • It provides a new world of resources for the Knowledge Worker • The hope is that someday more information than not will be publicly available via Linked Data for access by any user of the web. The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. -Tim Berners-Lee https://www.brainyquote.com/authors/tim_bernerslee
  • 12. Jim Sweeney Sr. Prod. Mgr., Taxonomy and Ontology Solutions jim.sweeney@synaptica.com www.synaptica.com