AGROVOC – Standard Vocabularies to link open data - Dr. Johannes Keizer

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Präsentation von Dr. Johannes Keizer auf dem ]init[ Event "Open Data in Practice" am 7.9.2011 in Berlin

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  • Ifresources are marked up withsemanticallydefined and machinereadableconcepts, they can belinked and mashed up preciselyaswehaveseen in the examplefrom the BBC.In thisexamplewe start withan AGRIS record on Hazardouswaste, whichisindexedwith AGROVOC. Alreadynowwe can easily link to material indexedwithEurovoc, hereanexamplefromEuroLex. If the UNBIS thesaurus wouldberestructuredto a conceptscheme and publishedas LOD, related UN documentscouldbeattachedautomaticallyby the machine.
  • Ifresources are marked up withsemanticallydefined and machinereadableconcepts, they can belinked and mashed up preciselyaswehaveseen in the examplefrom the BBC.In thisexamplewe start withan AGRIS record on Hazardouswaste, whichisindexedwith AGROVOC. Alreadynowwe can easily link to material indexedwithEurovoc, hereanexamplefromEuroLex. If the UNBIS thesaurus wouldberestructuredto a conceptscheme and publishedas LOD, related UN documentscouldbeattachedautomaticallyby the machine.
  • How does this work: A resource is connected with each concept URI in the web. The concepts between three vocabularies are having same literal which is connected with owl:sameAS/exactMatch relationship. As we are speakingaboutthesauri and notontologieswekept the relation tobechosenpurposelyvague. The conceptscouldbematchedwithowl:sameAS or the termscouldbematcheswith SKOS:exactMatch. A lotofdiscussion on thisisongoing
  • Thisis the AGROVOC SKOS modelthathasbeendeveloped and decided in April 2010 under activecollaborationfrom Tom Baker, whowasmemberof the W3C SKOS workinggroup.
  • AGROVOC – Standard Vocabularies to link open data - Dr. Johannes Keizer

    1. 1. AGROVOC – Standard Vocabularies to link open data<br />Dr. Johannes Keizer<br />Office ofKnowledge Exchange, Research and Extension<br />Food andAgricultureOrganizationofthe UN<br />Talk at “Open Data in Practice”<br />]init[, Berlin, 2011-09-07<br />
    2. 2. “... FAO’s principle task is to work to ensure that the world’s knowledge of food and agriculture is available to those who need it when they need it and in a form which they can access and use ...”<br />
    3. 3. Data and Information in AgriculturalResearch and Extension<br />
    4. 4. Distributed Data Sets<br /><ul><li>stats
    5. 5. gene banks
    6. 6. gis data
    7. 7. blogs,
    8. 8. journals
    9. 9. open archives
    10. 10. raw data
    11. 11. technologies
    12. 12. learningobjects
    13. 13. ………..</li></li></ul><li>Distributed Data Sets<br /><ul><li>stats
    14. 14. gene banks
    15. 15. gis data
    16. 16. blogs,
    17. 17. journals
    18. 18. open archives
    19. 19. raw data
    20. 20. technologies
    21. 21. learningobjects
    22. 22. ………..</li></ul>?<br />?<br />How to make value added services?<br />
    23. 23. Distributed Data Sets<br /><ul><li>stats
    24. 24. gene banks
    25. 25. gis data
    26. 26. blogs,
    27. 27. journals
    28. 28. open archives
    29. 29. raw data
    30. 30. technologies
    31. 31. learningobjects
    32. 32. ………..</li></ul>How to infere knowledge?<br />
    33. 33. Distributed Data Sets<br /><ul><li>stats
    34. 34. gene banks
    35. 35. gis data
    36. 36. blogs,
    37. 37. journals
    38. 38. open archives
    39. 39. raw data
    40. 40. technologies
    41. 41. learningobjects
    42. 42. ………..</li></ul>How can I get in real time all the specimen data on useful insects from all people making research on this on my desktop? How can I share in real time my data with other colleagues working on that.<br />How to organize collaboration?<br />
    43. 43. Going simply from here…to<br /><ul><li>stats
    44. 44. gene banks
    45. 45. gis data
    46. 46. blogs,
    47. 47. journals
    48. 48. open archives
    49. 49. raw data
    50. 50. technologies
    51. 51. learningobjects
    52. 52. ………..</li></li></ul><li>here…does not solvetheproblem<br />RDF Silos are not Linked Data<br />
    53. 53. Howtogethere?<br />
    54. 54. „Hazardouswaste“ information<br />
    55. 55. Semantic Linking<br />http://aims.fao.org/aos/agrovoc/c_7825<br />http://agclass.nal.usda.gov/nalt/2011.xml#1780<br />http://eurovoc.europa.eu/218754<br />
    56. 56. AGROVOC<br />http://aims.fao.org/aos/agrovoc/c_7825<br />Linking data through common URIs<br />http://www.agnic.org/search/CAT85822953<br />TOXIC SUBSTANCES<br />UNBIS<br />NALT<br />http://agclass.nal.usda.gov/nalt/2011.xml#1780<br />http://eurovoc.europa.eu/218754<br />http://agris.fao.org/agris-search/search/display.do?f=1996/TR/TR96001.xml;TR9600026<br />Eurovoc<br />http://unbisnet.un.org:8080/ipac20/ipac.jsp?session=128F308557F34.283092&profile=bib&uri=full=3100001~!685149~!1&ri=1&aspect=subtab124&menu=search&source=~!horizon<br />http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:202:0011:0015:EN:PDF<br />http://aims.fao.org/aos/agrovoc/c_12332 owl:sameAshttp://eurovoc.europa.eu/219871<br />skos: exact match UNBIS: Toxic Substances<br />
    57. 57. http://agris.fao.org/openagris/search.do?recordID=JP2010001379<br />
    58. 58. Open AGRIS threads<br />
    59. 59. AGROVOC<br />
    60. 60. AGROVOC<br />A multilingual agricultural vocabulary organized as concept scheme in 20 languages<br />Covers agriculture, forestry, fisheries and related themes (food security, land use, environment, etc.)<br />Organized in sub-vocabularies, e.g. chemicals, fisheries terms, scientific/common names of organisms<br />Maintained by a global community (e.g. librarians, terminologists, information managers) using VocBench<br />
    61. 61. AGROVOC - Statistics <br />
    62. 62. :bar<br />skos:literalForm<br />“maize”<br />:foo<br />has_synonym<br />:foo<br />skos:literalForm<br />“corn”<br />has_translation<br />maïs (fr)<br />has_synonym<br />:bar<br />AGROVOCConceptScheme<br />Other scheme in FAO<br />skos:inScheme<br />Another scheme in FAO<br />skos:topConceptOf<br />6211<br />Further schemes in FAO<br />skos:inScheme<br />skos:broader<br />8171<br />skos:broader<br />SKOSConcept<br />1474<br />SKOS Label<br />skos:broader<br />12332<br />rdf:type<br />skosxl:prefLabel<br />skosxl:altLabel<br />rdf:type<br />has_synonym<br />The AGROVOC concept scheme<br />
    63. 63.
    64. 64.
    65. 65. Linked Open Vocabularies<br />Inlinks:<br />AGROVOC - GEMET: 1,191<br />AGROVOC - TheSoz: 846<br />AGROVOC - RAMEAU: 686<br />AGROVOC - Geopolitical Ontology: 253<br />Total mapping inlinks: 2,976<br />Outlinks:<br />AGROVOC - Eurovoc: 1,297;<br />AGROVOC - GEMET: 1,191;<br />AGROVOC - LCSH: 1,093;<br />AGROVOC - NALT: 13,390;<br />AGROVOC - STW: 1,136  (Inlinks will be published with the next edition of STW); <br />AGROVOC - TheSoz: 846; <br />AGROVOC - RAMEAU: 686; <br />AGROVOC - DBpedia: 993;<br />AGROVOC - DDC: 409; <br />AGROVOC - Geopolitical Ontology: 253; <br />All  AGROVOC Top Concept mapping: 21;<br />Total mapping outlinks: 21,315<br />
    66. 66. Vocabularies and LOD<br />Simply publishing your data as RDF does not link them to other data sets <br />Creating these links by humans is interesting in detail, but unrealistic as mass processing<br />Linking 2 standard vocabularies can link 200 datasets which use these standard vocabularies<br />
    67. 67. In the Pipeline<br />Vocabulary Workshop at DC2011 (needto talk aboutvocabularyalignmentandmaintenance)<br />Aligningof AGROVOC with all relevant vocabularies<br />Getting a criticalmass in published open RDF datafromexistingdatabases(wrappingofexistingcontent)<br />Getting robust „retrofitting“ mechanismsforunstructuredcontent(AgroTagger, openKLproject)<br />Creatinghighvalueservicesfrom Triple Stores<br />
    68. 68. Thank You!<br />Credits: John Ferreira, Imma Subirats, Yves Jaques, Valeria Pesce, Fabrizio Celli, Ahsan Morshed, Catarina Caracciolo, Dickson Lukose, Gudrun Johannsen, Stefano Anibaldi, Armando Stellato, Tom Baker and manyothers<br />
    69. 69. http://aims.fao.org<br />http://www.ciard.net<br />http://ring.ciard.net<br />http://aims.fao.org<br />http://agris.fao.org<br />

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