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Aos china keizer-2010-10-30
This document summarizes a presentation given by Dr. Johannes Keizer of the Food and Agriculture Organization (FAO) of the United Nations. The presentation discusses the 10-year Agricultural Ontology Initiative to build a linked data infrastructure for agricultural knowledge. It provides an overview of FAO's AGROVOC concept scheme and other agricultural ontologies developed through partnerships. It also describes semantic tools and technologies used by the Agricultural Ontology Service (AOS) to link and aggregate agricultural data into a global linked open data cloud.
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Aos china keizer-2010-10-30
- 1. 10 years Agricultural OntologyInitiative: Building Blocks for a Linked Data Infrastructure Dr. Johannes Keizer FAO of the United Nations Office of Knowledge Exchange, Research and Extension Team Leader “Knowledge Standards and Services”
- 2. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 The Internet!
- 3. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
- 4. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Aggregation States of Knowledge
- 5. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Data Flows and Repositories in Research
- 6. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 “... 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 ...”
- 7. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 AOS Vision in 2001
- 8. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 ..from thesaurus to Ontologies….
- 9. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Our push of AGROVOC to the Semantic Web had enormous positive effects, among others From 4 to 20 language versions Defacto standard for indexing in many areas More than 2000 downloads only in 2009 SKOS incorporated all our requirements For many purposes we need semantics on a lower level than of a fully elaborated ontology – but we need them urgently The development of specific Ontologies should be always application driven – a demand economy Lessons Learned
- 10. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 AOS - Today SemanticsTools Linked DataCommunity
- 11. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Community
- 12. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 The AOS Community
- 13. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 http://aims.fao.org/community/home
- 14. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Better Semantics
- 15. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 around 30,000 concepts 600000 labels in around 20 languages. one-stop shop for terminological knowledge related to agriculture in general a knowledge base of related concepts organized in ontological relationships (hierarchical, associative, equivalence) Is a concept/term/string based system Concepts may be organized in multiple categories. AGROVOC concept scheme
- 16. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Further schemes in FAO skos:broader :bar has_synonym has_translation skos:literalForm “maize” :foo maïs (fr) :foo has_synonym skos:literalForm “corn” :bar 8171 1474 skosxl:altLabel skosxl:prefLabel skos:broader has_synonym SKOS Label The AGROVOC concept scheme SKOS Concept rdf:type rdf:type 6211 skos:broader AGROVOC Concept Scheme skos:topConceptOf skos:inScheme Another scheme in FAO Other scheme in FAO skos:inScheme 12332
- 17. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Work Expression Manifestation Item Subjects Corporate Bodies Conferences Journals Series FAO Projects FAO FRBR Model & Authority Data
- 18. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 isSpatiallyIncludedIn isPublishedBy isOtherLanguageEditionOf isFollowedBy/Follows EXAMPLE: JOURNAL CONTENT MODEL
- 19. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 A Model to create Linked Data Rich set of relationships Easier implementation of concept-based thesauri and authority data
- 20. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Geopolitical Ontology OEKM FAO of the UN 20
- 21. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Fishery Ontologies
- 22. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 What Partners have done….. Rice Knowledge Models Rice Production Ontology ASFA Thesaurus VIVO Ontologies Look to the many presentations on this workshop
- 23. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Tools
- 24. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 The Concept Scheme Work Bench
- 25. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Drupal AgriDrupal is a “suite of solutions” for agricultural information management and dissemination, built on the Drupal CMS by different Institutions and individuals who are now sharing their experiences in the AgriDrupal community Drupal, a semantic web enabled CMS General purpose CMS necessary Drupal has flexibility to manage all information types Drupal has a strong user community Version 7 natively with RDF backbone, but semantic applications already possible with version 6 Drupal can be a producer and consumer of Linked Data
- 26. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Drupal Query run on a Drupal website from a Virtuoso test environment at http://demo.openlinksw.com/sparql_demo/ SPARQL endpoint RDF triples Drupal website
- 27. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 • Objectives: • Assure quality in metadata creation • Sharing information in a standardized manner • Use of common semantics and interoperable syntaxes • Use of more sophisticated and specialized metadata • Use of controlled, multilingual vocabularies • Requirements: • AGRIS AP compliancy • AGROVOC AgriOcean Dspace – a tool for Repositories
- 28. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 AgriOceanDspace – Thesaurus plug in • Developed by Kasetsart University (Bangkok, Thailand) • Thesaurus plug-in o Web services: use local or remote version of AGROVOC thesaurus/SKOS
- 29. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Linking Data
- 30. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 The Linked Data Universe: http://www.linkeddata.org (july 2010)
- 31. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 http://agris.fao.org/agris-search/search/display.do?f=2004/ZA/ZA04002.xml;ZA2004000049
- 32. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 AGROVOC EUROVOC UNBIS Relationship http://aims.fao. org/aos/agrovoc /c_207 http://eurovoc .europa.eu/21 9055 agroforestry skos:exactMatch / owl:sameAs http://aims.fao. org/aos/agrovoc /c_4826 http://eurovoc .europa.eu/22 0018 MILK skos:exactMatch / owl:sameAs http://aims.fao. org/aos/agrovoc /c_12332 http://eurovoc .europa.eu/21 9871 MAIZE skos:exactMatch / owl:sameAs Linking vocabularies
- 33. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 http://aims.fao.org/aos/agrovoc/c_7825 http://eurovoc.europa.eu/218754
- 34. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 http://eurovoc.europa.eu/ 219871 Maize skosxl: literalForm Maize http://aims.fao.org/ao s/agrovoc/c_12332 AGROVOC skosxl: literalForm Maize http://aims.fao.org/aos/agrovoc/c_12332 owl:sameAs http://eurovoc.europa.eu/219871 owl:sameAs/exactMatch http://agris.fao.org/agris- search/search/display.do?f=1996 /TR/TR96001.xml;TR9600026 Linking data through common URIs skosxl: literalForm owl:sameAs/exactMatch http://eur- lex.europa.eu/LexUriServ/LexUriSe rv.do?uri=OJ:L:2010:202:0011:001 5:EN:PDF http://unbisnet.un.org:8080/ipac20/ipac.j sp?session=128F308557F34.283092&pr ofile=bib&uri=full=3100001~!685149~!1& ri=1&aspect=subtab124&menu=search& source=~!horizon Maize Eurovoc UNBIS
- 35. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 What are we doing with unstructured data? • We have enormous amounts of unstructured material • Still most of the documents that we are producing are mostly semantically unstructured • Human work to catalogue and index is becoming always more rare • We need machines to do automatic semantic mark ups of text • If machines are trained and based on concept schemes, ther are able to do so
- 36. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
- 37. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 • Does Concept identification in unstructured texts • Uses Agrovoc as a controlled vocabulary • Prototype under testing with excellent results (entire repository of ICARDA indexed) • Will produce in future Structured RDF files that can be used to link data like “open Calais” • AgroTagger
- 38. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
- 39. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
- 40. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
- 41. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 Life Demo: Semantic mark ups: http://viewer.opencalais.com/ http://agropedialabs.iitk.ac.in/Tagger/Agrotagger_text.php
- 42. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 The CIARD RING
- 43. dr johannes keizer- FAO of the United Nations - knowledge and capacity for development Chinese Agricultural Ontology Service WS, Beijing 2010-10-30 AGRIS Linked Data
- 44.
Editor's Notes
- #16 Some auto appreciation
- #17 Thisis the AGROVOC SKOS modelthathasbeendeveloped and decided in April 2010 under activecollaborationfrom Tom Baker, whowasmemberof the W3C SKOS workinggroup.
- #29 AgriOceanDspace release: 09/2010Setting up of AgriOceanDspace Community on AIMS: 09-10/2010exchange of experiencesPilot Testing: “Bangladesh Agricultural Universities’ Institutional Repository”Cooperation with DURASPACEInforming about the new AgriOceanDspace implementationsCollaborating in the Dspace Ambassadors Program
- #31 Thisis a snapshotoneyearlater. The growthisenormous. A centralpointisDBPedia, “triplified” information fromWikipedia. The differentcoloursrepresent the different information types, being “life sciences” and “publications” the mostpopulatedareas, butwith the area “government” stronglygrowingInterestingnewcomers in the last months are the two VIVO datasetsfrom the UnitedStatesdescriping expertise in Science. Vivo isactually a project thatstarted the agriculturallibraryofCornellUniversity
- #32 In a bibliographical record thereismuch more hidden information thandisplayedwith the metadata. Manyof the highlystructured data are linkingtoother information on the web. In AGRIS wehavenowintroducedsomethingwhatwecall “naivelinking”. An AGRIS record linksautomaticallyto Google Mapsfor the location of the center and to Google toretrieve the full text of the resource, citationlists or otherpublicationsfrom the authors. Thisoftenworks, butclearlynotalway, s asitisnotcontrolledbysemantics, butonlythroughidentyofstrings. Foranuneducatedmachineunfortunately COW and C.O.W. are the same, whereaspeanuts and groundnuts are somethingdifferent.
- #33 The tableshows 3 descriptorsthat are in AGROVOC, EUROVOC and UNBIS. In AGROVOC and EUROVOC they are alreadyencodedasURIs. Easilywecouldestablishrelationshipslikeowl.sameAsbetween the concepts or skos:exactMatchbetweenlabels.
- #34 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.
- #35 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
- #37 Oneof the groundbreakingenterprises in this area isThomsonReuters “Open Calais”. Thisis a webservicethatprovidessemanticmark up foranyunstructured text thatyoufeedintotheir service The service is free ofCharge. Why? I will show youlater.
- #38 My team in collaborationwith the IndianInstituteofTechnology in Kanpur isdeveloping a similar service foroursubject area.
- #39 Wehavehere a text from 1964 without a bibliographic record at handabout a plantprotectionissue
- #40 Open Calais isverygood in thoseareas, in whichtheyhavetheirownelaboratedconceptschemeagainstwhich the texts are analyzed: “Places”, “Persons”, “Business Processes” , “IndustryTerms”, butitisweak in the specifictopicanalysis, whattheycall “social tags”
- #41 AgroTaggerstilllacksmanyof the sophisticated featuresof “Open Calais” ,butismuch, muchbetter in the subjectanalysisof the text
- #42 Wewillnowtry a life demo