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Daniel Hladky, Ontos AG
Linked Open Data for Cities
Increase transparency and enable new services
Tuesday, June 4, 2013
03:45 PM – 04:30 PM
Level: Business/Strategic
Agenda
•  Motivation
•  Based on a real story
•  Why (L) Open data
•  Transformation “Triplication to 5 star”
•  Proof of Concept “Demonstrator”
•  Tools and Next Steps
Moving from Morges to Biel
•  Which is the best neighborhood to live If I want to have:
•  A Child care center
•  Bilingual school
•  Handicapped parking for visiting friends
•  Closest from work
•  What are the taxes in Biel compared with Morges?
•  How much are the housing prices compared with Morges?
Morges
Biel
Child care centers
Child care centers
l  7 child care centers on google maps
l  17 child care centers on pdf from biel-bienne.ch
Elementary Schools
Elementary Schools
l  1 bilingual elementary school on google maps
l  9 elementary schools in biel-bienne.ch ? bilingual
Community Taxes
Community Taxes
l  Found 2011 statistics for Families having a 80,000 annual revenue
l  Manually compared Morges (11.4%) vs Bienne (12.2%)
Data exists but ...
l  In several of different places
l  Google
l  Biel-Bienne.ch
l  Homegate.ch
l  www.bfs.admin.ch
l  Most in a format that cannot be reused, or needs to be adapted
l  Google maps
l  Documents (html, pdf, xls)
l  At different granularity levels
l  Data ownership
Access to data
marketing
culture
population
ORP
sports
...
education
Open Linked Data
marketing
culture
population
ORP
sports
...
education
www
www
www
www
www
www WWW
BFS
Wikipedia
(dbpedia)
WWW
WWW
Access Open Linked data
marketing
culture
population
ORP
sports
...
education
www
www
www
www
www
www WWWWWW
Why (L) Open Data
http://www.w3.org/
DesignIssues/LinkedData.html
http://5stardata.info/
Excerpt of Reasons
•  Sharing of Data
•  Transparency
•  Meet regulatory compliance
•  Initiate Innovation (and new economy)
•  Build new Apps that help people (Hackathons)
•  Engagement (Collaboration)
More on
http://www.slideshare.net/jeanneholm1/iogdc-
open-data-tutorial (J. Holm)
Guidelines and Formats
Transformation “Triplication”
Do you think people from
the city understand all
the technical jargon?
Creating Linked Open Data
•  Getting the data
•  Modeling your data – schema
•  Transforming your data
•  Create applications
Data Sources
•  Local government data Biel/Bienne website - 1 star data
•  Marketing, Sports, Events, etc.
•  Most of data not open or in PDF
•  Swiss statistics – 4 stars data
•  Open data in excel
•  Moving to 5 stars
•  Web data –five stars data
•  Open street maps
•  Wikipedia
•  295 open datasets in 2011
Transforming your data
Free and open source tools:
•  LOD2 stack
•  D2R[Q]
•  LIMES
•  …
•  Biel/Bienne use case : LODGRefine
•  Extension of Google Refine for LOD
•  Import data from cvs, xls
•  Clean/Refine your data
•  Associate data with chosen vocabularies
•  Link your data with other open datasets
•  Export to RDF
Triplication Process
Vocabulary
(Ontology,
schema)
Refine,
Clean,
Link
Insert,
Expose
RDF
SPARQL
Endpoint
Tools:
OpenRefine
RDF Refine (DERI)
Google Refine (old)
Publish the Data Catalogue
We use “OntoQUAD”
(…there are many
RDF graph databases)
Ontology Model based on schema.org
Clean data and link to ontology
http://openrefine.org/
http://refine.deri.ie/
LOD2 stack
ZRH, Zürich, Zuerich, Zurich
LODGRefine
Summary I
q Collect data from Web and store in XLS (CSV)
q Model Ontology
q Clean data using OpenRefine / LODRefine
q Connect CSV colons to RDF(ontology)
and Reconcile (link to other data) “5 star”
q Export the RDF
q Load RDF to Graph database (OntoQUAD)
and publish the data as SPARQL endpoint
and/or on a datacatalogue
Orchestration of Linked (O) Data
Using as many as possible Open Source Tools
-  From the LOD2 stack (LIMES) “EU FP7 project”
-  D2RQ from FU Berlin and DERI (and others)
-  NLP engines
-  RDF Store (OntoQUAD, Virtuoso, etc)
OntoQUAD – BSBM May 2013
Proof of Concept “Demonstrator”
Biel/Bienne demo of what can be achieved
with open linked data http://citydemo.ontos.com/#
•  Which is the best neighborhood to live If I want to
have:
•  A Child care center
•  Bilingual school
•  Handicapped parking for visiting friends …
•  How much are the housing prices compared with
Morges?
Open (Linked) Data for City Biel-Bienne
http://citydemo.ontos.com/#
Open (Linked) Data for City Biel-Bienne
http://citydemo.ontos.com/#
Open (Linked) Data for City Biel-Bienne
http://citydemo.ontos.com/#
Open (Linked) Data for City Biel-Bienne
http://citydemo.ontos.com/#
Open (Linked) Data for City Biel-Bienne
http://citydemo.ontos.com/#
Future Vision
Structure
DataStructure
Data
Private Data
Sources
Public Open
Data (LOD)
Convert
to RDF
Linking
Fusion
MultiLing
Web
Publish
Expose
RDF
SPARQL
Endpoint
Transforming & Triplication for 5star Linked Open Data
Orchestration
Imagine other scenarios
l  Companies settling in Biel
l  Students needs
l  Small and medium companies marketing
l  Public health needs
l  ...
Benefits
l  Data accessibility
l  Create useful and dedicated applications
l  Understandable data
l  Transparency
l  Statistics of the city
l  Analysis of data
Questions
Thank You

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Linked Open Data for cities at SemTechBiz 2013 (San Francisco)

  • 1. Daniel Hladky, Ontos AG Linked Open Data for Cities Increase transparency and enable new services Tuesday, June 4, 2013 03:45 PM – 04:30 PM Level: Business/Strategic
  • 2. Agenda •  Motivation •  Based on a real story •  Why (L) Open data •  Transformation “Triplication to 5 star” •  Proof of Concept “Demonstrator” •  Tools and Next Steps
  • 3. Moving from Morges to Biel •  Which is the best neighborhood to live If I want to have: •  A Child care center •  Bilingual school •  Handicapped parking for visiting friends •  Closest from work •  What are the taxes in Biel compared with Morges? •  How much are the housing prices compared with Morges? Morges Biel
  • 5. Child care centers l  7 child care centers on google maps l  17 child care centers on pdf from biel-bienne.ch
  • 7. Elementary Schools l  1 bilingual elementary school on google maps l  9 elementary schools in biel-bienne.ch ? bilingual
  • 9. Community Taxes l  Found 2011 statistics for Families having a 80,000 annual revenue l  Manually compared Morges (11.4%) vs Bienne (12.2%)
  • 10. Data exists but ... l  In several of different places l  Google l  Biel-Bienne.ch l  Homegate.ch l  www.bfs.admin.ch l  Most in a format that cannot be reused, or needs to be adapted l  Google maps l  Documents (html, pdf, xls) l  At different granularity levels l  Data ownership
  • 13. Access Open Linked data marketing culture population ORP sports ... education www www www www www www WWWWWW
  • 14. Why (L) Open Data http://www.w3.org/ DesignIssues/LinkedData.html http://5stardata.info/ Excerpt of Reasons •  Sharing of Data •  Transparency •  Meet regulatory compliance •  Initiate Innovation (and new economy) •  Build new Apps that help people (Hackathons) •  Engagement (Collaboration) More on http://www.slideshare.net/jeanneholm1/iogdc- open-data-tutorial (J. Holm) Guidelines and Formats
  • 15. Transformation “Triplication” Do you think people from the city understand all the technical jargon?
  • 16. Creating Linked Open Data •  Getting the data •  Modeling your data – schema •  Transforming your data •  Create applications
  • 17. Data Sources •  Local government data Biel/Bienne website - 1 star data •  Marketing, Sports, Events, etc. •  Most of data not open or in PDF •  Swiss statistics – 4 stars data •  Open data in excel •  Moving to 5 stars •  Web data –five stars data •  Open street maps •  Wikipedia •  295 open datasets in 2011
  • 18. Transforming your data Free and open source tools: •  LOD2 stack •  D2R[Q] •  LIMES •  … •  Biel/Bienne use case : LODGRefine •  Extension of Google Refine for LOD •  Import data from cvs, xls •  Clean/Refine your data •  Associate data with chosen vocabularies •  Link your data with other open datasets •  Export to RDF
  • 19. Triplication Process Vocabulary (Ontology, schema) Refine, Clean, Link Insert, Expose RDF SPARQL Endpoint Tools: OpenRefine RDF Refine (DERI) Google Refine (old) Publish the Data Catalogue We use “OntoQUAD” (…there are many RDF graph databases)
  • 20. Ontology Model based on schema.org
  • 21. Clean data and link to ontology http://openrefine.org/ http://refine.deri.ie/ LOD2 stack ZRH, Zürich, Zuerich, Zurich
  • 23. Summary I q Collect data from Web and store in XLS (CSV) q Model Ontology q Clean data using OpenRefine / LODRefine q Connect CSV colons to RDF(ontology) and Reconcile (link to other data) “5 star” q Export the RDF q Load RDF to Graph database (OntoQUAD) and publish the data as SPARQL endpoint and/or on a datacatalogue
  • 24. Orchestration of Linked (O) Data Using as many as possible Open Source Tools -  From the LOD2 stack (LIMES) “EU FP7 project” -  D2RQ from FU Berlin and DERI (and others) -  NLP engines -  RDF Store (OntoQUAD, Virtuoso, etc) OntoQUAD – BSBM May 2013
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  • 31. Proof of Concept “Demonstrator” Biel/Bienne demo of what can be achieved with open linked data http://citydemo.ontos.com/# •  Which is the best neighborhood to live If I want to have: •  A Child care center •  Bilingual school •  Handicapped parking for visiting friends … •  How much are the housing prices compared with Morges?
  • 32. Open (Linked) Data for City Biel-Bienne http://citydemo.ontos.com/#
  • 33. Open (Linked) Data for City Biel-Bienne http://citydemo.ontos.com/#
  • 34. Open (Linked) Data for City Biel-Bienne http://citydemo.ontos.com/#
  • 35. Open (Linked) Data for City Biel-Bienne http://citydemo.ontos.com/#
  • 36. Open (Linked) Data for City Biel-Bienne http://citydemo.ontos.com/#
  • 37. Future Vision Structure DataStructure Data Private Data Sources Public Open Data (LOD) Convert to RDF Linking Fusion MultiLing Web Publish Expose RDF SPARQL Endpoint Transforming & Triplication for 5star Linked Open Data Orchestration
  • 38. Imagine other scenarios l  Companies settling in Biel l  Students needs l  Small and medium companies marketing l  Public health needs l  ...
  • 39. Benefits l  Data accessibility l  Create useful and dedicated applications l  Understandable data l  Transparency l  Statistics of the city l  Analysis of data