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From Structured Data to Linked Open Governmental Data

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From Structured Data to Linked Open Governmental Data

  1. 1. ? Dongpo Deng dongpo@iis.sinica.edu.tw
  2. 2. 5 • • http://5stardata.info/tw/
  3. 3. MS EXCEL XLS
  4. 4. CSV
  5. 5. (Web of Data) • : • • • •
  6. 6. (Resource Description Framework, RDF) 64 siteAddress Subject Predicate Object Triple URL URL URL
  7. 7. HTTP URL and URL • HTTP URIs, in the web architecture, have been used to denote documents -- "web pages" informally, or "information resources" more formally. • However, with the growth of the Semantic Web, which uses URIs to denote anything at all, the urge to use and practice of using HTTP URIs for arbitrary things grew steadily. https://www.w3.org/DesignIssues/HTTP-URI.html
  8. 8. (ontology) • 建⽴知識本體 • 定義語彙,清楚表達資料,使資料能夠相互連結
  9. 9. http://lov.okfn.org/dataset/lov/
  10. 10. URI (Resource Description Framework, RDF)
  11. 11. RDF Resource URI: http://www.epa.gov.tw/resource/Taiepi_Weather_Station db:Taipei a lodtw:UV_Site ; rdfs:isDefinedBy <http://www.epa.gov.tw/data/Taiepi_Weather_Station> ; rdfs:label “Taipei_Weather_Station” ; <http://lod.tw/ontologies/weather_stations.owl#1st_Administration> “ ” <Taipei_City> ; <http://lod.tw/ontologies/weather_stations.owl#2nd_Administration> “ ” <Zhongzheng_Distract> ; lodtw:Government_Organization “ ” ; lodtw:Weather_Station “ ” ; lodtw:id 6 ; wgs84_pos:lat “25.037583”^^xsd:float ; wgs84_pos:long “121.514861”^^xsd:float ; card:Address “ 64 ” ; foam:page <http://www.epa.gov.tw/page/Taiepi_Weather_Station> Taiepi_Weather_Station
  12. 12. (Linked Data) • Tim Berners-Lee 1. URI 2. HTTP URI 3. URI ( RDF, SPARQL) 4. URI https://www.w3.org/DesignIssues/HTTP-URI.html
  13. 13. http://blog.okfn.org/category/working-groups/wg-archaeology/
  14. 14. URI URI (Linked Open Data, LOD) !! Resource URI: http://www.epa.gov.tw/resource/Taiepi_Weather_Station Taiepi_Weather_Station Resource URI: http://lod.tw/resource/Taiepi_City
  15. 15. • • • •
  16. 16. DBpedia • DBpedia is a community effort to extract structured “infobox” information from Wikipedia
  17. 17. Academia Sinica in Wikipedia http://en.wikipedia.org/wiki/Academia_Sinica
  18. 18. Academia Sinica in DBpedia http://dbpedia.org/page/Academia_Sinica
  19. 19. LOD Cloud (2007-05-01) 12 data sets
  20. 20. LOD Cloud (2008-02-28) 32 data sets
  21. 21. LOD Cloud (2009-03-05) 93 data sets
  22. 22. LOD Cloud (2010-09-22) 203 data sets
  23. 23. LOD Cloud (2011-09-19) LODE-Taiwan Biodiversity Dataset 295 data sets
  24. 24. LOD Cloud (2014-08-30) 570 data sets
  25. 25. Government Linked Open Data
  26. 26. Government Linked Open Data
  27. 27. http://hangingtogether.org/?p=5206
  28. 28. 90 0 5 10 15 20 25 30 35 40 45 USA Spain UK The Netherlands Norway Canada Australia France Germany Italy Switzerland Austria Czech Republic Hungary Ireland Japan Malaysia Portugal Singapore Sweden Linked Data Survey Respondents Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
  29. 29. 0 5 10 15 20 25 Academic library National library Network Government Scholarly Public Library Museum Other 2014 2015 Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
  30. 30. 2015 Steep learning curve for staff 40 Inconsistency in legacy data 33 Selecting appropriate ontologies to represent our data 31 Establishing the links 27 Little documentation or advice on how to build the systems 21 Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
  31. 31. ? 2015 2014 Expose to larger audience on the Web 67 45 Demonstrate what could be done with datasets as linked data 59 41 Heard about linked data and wanted to try it out by exposing our data as linked data. 43 21 See if publishing linked data would improve our Search Engine Optimization (SEO.) 29 9 Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
  32. 32. ? 2015 2014 Provide our users with a richer experience. 51 35 Enhance our own data by consuming linked data from other sources. 50 37 More effective internal metadata management. 32 16 Greater accuracy and scope in our search results 27 12 See if consuming linked data would improve our Search Engine Optimization (SEO). 19 12 Experiment with combining different types of data into a single triple store. 17 15 Heard about linked data and wanted to try it out by using linked data sources. 17 13
  33. 33. 2015 VIAF (Virtual International Authority File) 41 DBpedia 36 GeoNames 35 id.loc.gov 35 Resources we convert to linked data ourselves 17 Getty's AAT 16 FAST (Faceted Application of Subject Terminology) 15 WorldCat.org 15 data.bnf.fr 12 Deutsche National Bib Linked Data Service 12 Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
  34. 34. • • • • URI • BaseURI http://geo.lod.tw • TBoxURIs http://geo.lod.tw/ontology/ {class|property} • ABoxURIs
 http://geo.lod.tw/resource/Name/
  35. 35. • (Ontologies) • • • OWL RDFs • Protege
  36. 36. • 要連到其它資料,要清楚資料的脈絡關係, 以找到可以連結的資料 • 基本上要梳理資料脈絡關係,可由三個⼤ ⽅向著⼿,資料的時間特性、資料的空間 特性、和資料的主題 • ⼯具 • Silk • http://wifo5-03.informatik.uni-mannheim.de/bizer/silk/ • LIME • http://aksw.org/Projects/LIMES.html
  37. 37. • • CSV and spreadsheets • RDF extension of Google Refine, XLWrap, RDF123, NOR2O • RDB • D2R Server, ODEMapster,W3C RDB2RDF WG – R2RML • XML • GRDDL, ReDeFer
  38. 38. • • http (accessibility) (derefencability) • namespace vocabulary •
  39. 39. • RDF stores and SPARQL endpoints • Jena,Virtuoso, Sesame,4Store, OWLIM, BBN Parliament • linked-data front-end services • Pubby, TalisPlatform, Fuseki, D2RQ
  40. 40. MySQL RDB D2R Pubby Virtuoso RDF store Web HTML RDF
  41. 41. RelFinder
  42. 42. dongpo.deng@gmail.com twitter: @dongpo facebook: dongpo.deng Slides are available on http://tinyurl.com/hobd6az

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