Your SlideShare is downloading. ×
Where is the World is my Open Government Data?
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Where is the World is my Open Government Data?

507
views

Published on

Guest lecture at the Syracuse University School of Information Studies eScience Librarianship Lecture Series (08 Dec 2011). …

Guest lecture at the Syracuse University School of Information Studies eScience Librarianship Lecture Series (08 Dec 2011).

Description: It’s your government, is it your data? New approaches to building interlinked catalogs of government-produced data. Dr. John S. Erickson, Director of Web Science Operations for the Tetherless World Constellation at Rensselaer Polytechnic Institute will present technical methods being developed to manage the delivery of large-scale open government data projects based on semantic web and linked data best practices.

Published in: Education

0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
507
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
5
Comments
0
Likes
2
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Where in the World is myOpen Government Data? John S. Erickson, Ph.D. Director, Web Science Operations Tetherless World Constellation RPI
  • 2. Where in the World is myOpen Government Data? John S. Erickson, Ph.D. Director, Web Science Operations Tetherless World Constellation RPI
  • 3. 1. Data on the Web...using Open Licenses!2. Machine readable data3. Non-proprietary formats4. RDF standards (data models, query)5. Linked Data principles
  • 4. An Open Government Data Timeline
  • 5. 1. Data on the Web...using Open Licenses!2. Machine readable data3. Non-proprietary formats4. RDF standards (data models, query)5. Linked Data principles
  • 6. subjectsubject predicate object object
  • 7. subject subject predicate object objectsome articlesome article has author Jim Jim
  • 8. @article{Hendler:2009:WE:1512136.1512177, @article{Hendler:2009:WE:1512136.1512177, author = {Hendler, Jim}, author = {Hendler, Jim}, title = {Web 3.0 Emerging}, title = {Web 3.0 Emerging}, journal = {Computer}, journal = {Computer}, issue_date = {January 2009}, issue_date = {January 2009}, volume = {42}, volume = {42}, issue = {1}, issue = {1}, month = {January}, month = {January}, year = {2009}, year = {2009}, issn = {0018-9162}, issn = {0018-9162}, pages = {111--113}, pages = {111--113}, numpages = {3}, numpages = {3}, url = {http://dx.doi.org/10.1109/MC.2009.30}, url = {http://dx.doi.org/10.1109/MC.2009.30}, doi = {http://dx.doi.org/10.1109/MC.2009.30}, doi = {http://dx.doi.org/10.1109/MC.2009.30}, acmid = {1512177}, acmid = {1512177}, publisher = {IEEE Computer Society Press}, publisher = {IEEE Computer Society Press}, address = {Los Alamitos, CA, USA}, address = {Los Alamitos, CA, USA}, keywords = {Web 3.0, Web technologies, keywords = {Web 3.0, Web technologies,Semantic Web, linked data}, Semantic Web, linked data},}}
  • 9. @article{Hendler:2009:WE:1512136.1512177, @article{Hendler:2009:WE:1512136.1512177, author = {Hendler, Jim}, author = {Hendler, Jim}, title = {Web 3.0 Emerging}, title = {Web 3.0 Emerging}, journal = {Computer}, journal = {Computer}, issue_date = {January 2009}, issue_date = {January 2009}, volume = {42}, volume = {42}, issue = {1}, issue = {1}, month = {January}, month = {January}, year = {2009}, year = {2009}, issn = {0018-9162}, issn = {0018-9162}, pages = {111--113}, pages = {111--113}, numpages = {3}, numpages = {3}, url = {http://dx.doi.org/10.1109/MC.2009.30}, url = {http://dx.doi.org/10.1109/MC.2009.30}, doi = {http://dx.doi.org/10.1109/MC.2009.30}, doi = {http://dx.doi.org/10.1109/MC.2009.30}, acmid = {1512177}, acmid = {1512177}, publisher = {IEEE Computer Society Press}, publisher = {IEEE Computer Society Press}, address = {Los Alamitos, CA, USA}, address = {Los Alamitos, CA, USA}, keywords = {Web 3.0, Web technologies, keywords = {Web 3.0, Web technologies,Semantic Web, linked data}, Semantic Web, linked data},}}
  • 10. doi:10.1109/MC.2009.30 “Dublin Core creator” ““Jim Hendler” Jim Hendler”
  • 11. doi:10.1109/MC.2009.30 http://purl.org/dc/elements/1.1/creator ““Jim Hendler” Jim Hendler”
  • 12. doi:10.1109/MC.2009.30 http://purl.org/dc/elements/1.1/author http://dbpedia.org/resource/James_Hendler http://dbpedia.org/resource/James_Hendler
  • 13. doi:10.1109/MC.2009.30 http://purl.org/dc/elements/1.1/creator http://dbpedia.org/resource/James_Hendler http://dbpedia.org/resource/James_Hendler
  • 14. How do we make Linked Data?
  • 15. How do we publish Linked Data?
  • 16. (table to rdf)doi:10.1109/MC.2009.30 doi:10.1109/MC.2009.30 dct:creator ““JimHendler” Jim Hendler”
  • 17. (csv2rdf4lod)
  • 18. (csv2rdf4lod)
  • 19. (csv2rdf4lod)
  • 20. (csv2rdf4lod)
  • 21. (csv2rdf4lod) ????
  • 22. How do we find anything?
  • 23. SPARQL:RDF graphpattern matching
  • 24. And then The Creator said...
  • 25. Use URIs as names for thingsUse URIs as names for thingsUse HTTP URIs so that people can look up Use HTTP URIs so that people can look upthose names. those names.When someone looks up a URI, provide When someone looks up a URI, provideuseful information, using the standards useful information, using the standards((RDF*,SPARQL)) RDF*, SPARQLInclude links to other URIs, so that they can Include links to other URIs, so that they candiscover more things. discover more things.
  • 26. The Linked Data CloudThe Linked Data Cloud
  • 27. The Linked Data CloudThe Linked Data Cloud
  • 28. The Linked Data CloudThe Linked Data Cloud ????
  • 29. Making datasets findable:Standard catalog metadata models
  • 30. (DCAT and ADMS shots)
  • 31. (DCAT and ADMS shots)
  • 32. (DCAT and ADMS shots)
  • 33. (DCAT and ADMS shots)
  • 34. The Next Act:Open-source government data platforms
  • 35. The Next Act:Open-source government data platforms
  • 36. The future: Open-source government data platforms
  • 37. The future: Open-source government data platforms
  • 38. The future: Open-source government data platforms To do: To do: * Linked Data * Linked Data * DCAT (RDFa) * DCAT (RDFa) * DCAT (Schema.org) * DCAT (Schema.org) * ... * ...
  • 39. So what?
  • 40. Linked Data enables agile data integration andapplication creation
  • 41. Example: Extending a Sci Publishing PortalExample: Extending a Sci Publishing Portal
  • 42. Example: Extending a Sci Publishing PortalExample: Extending a Sci Publishing Portal
  • 43. Next: Linking Data-driven Apps with “Smart Content” http://inference-web.org/wiki/Semantic_Water_Quality_Portal http://inference-web.org/wiki/Semantic_Water_Quality_Portal
  • 44. ????