Tutorial at ESWC 2011 with John McCrae and Elena Montiel-Ponsoda

1. Session 1: NLP and the Multilingual Semantic Web: Challenges and Opportunities Tobias Wunner Digital Research Enterprise Institute (DERI) National University of Ireland, Galway (NUIG)

3. 250 languages

4. less than 25% in English 3.5M 1M 2001 2011 From: http://en.wikipedia.org/wiki/Wikipedia:Size_comparisons

6. 3.9m Chinese articlesGoogleTranslate

12. Resources identified by URI (unique resource identifier)URI = http://dbpedia.org/resource/TCM dbpedia:TCM (Turtle) Linguistic and semanticinformation on the Semantic Web! DBPedia RDFS label and OWL same as relationship dbpedia:TCMrdfs:label“Traditional Chinese Medicine”@en dbpedia:TCMrdfs:label“MedicinaTradicional Chinese”@es dbpedia:TCMowl:sameAsdbpedia:TraditionalChineseMedicine

15. To (some extent) no linguistic right or wrong--> Standards (formal agreements) MeSH (Medical Subject Headings) From http://www.nlm.nih.gov/mesh/MBrowser.html

17. Semantic Web Query Language (SPARQL)

19. Matching pattern on graph of triples

20. Choose labeling mechanism e.g

21. …from RDFS vocabulary (label)

22. …from SKOS vocabulary (preferred label)

24. Matching pattern on graph of triples

25. Choose predicate according to labeling mechanism

26. Query on literal valueWhat’s on the Semantic Web? <Subject> <Predicate> <Object> Resource rdfs:label ”Traditionelle chinesische Medizin”@de

29. Query all literals with chinese encoded String “中医”Results <http://raynix.cn/…> dc:title "极客路线中医” ...

31. Example: “all resources with word traditional”dbpedia:TraditionalChineseMedicine dbpedia:TraditionalIrishMusic dbpedia:IrishTraditionalMusic ... with SPARQL filter select ?subject where { ?subject ?predicate ?object filter regex(?subject,”.*traditional.*chinese.*” ) }

33. Example: “all resources with word traditional”dbpedia:TraditionalChineseMedicine dbpedia:TraditionalIrishMusic dbpedia:IrishTraditionalMusic ... with Sindicestar-shaped queries (SIREn) Results

34. NLP for the Semantic Web Multilingual/Ontology-based Information Extraction (BioCaster, OpenCalais) Ontology Localization (LabelTranslator) Ontology-based Natural Language Generation (CLANN)

36. Annotates news based on a multilingual ontology

37. Uses proprietary format and SKOS-XL to maintain terminology…

40. Multilingual adaptation

41. Adaptation of information extracion rules to other domains

43. Multilingual (English, French, Spanish)

44. English

45. 39 entities

47. Only 15 base entities for non-English, no relations

48. Demohttp://viewer.opencalais.com

50. Multilingual adaptation of lexicon and extraction rules

52. Linguistic annotations (Num., POS, Gender)

53. … for a better translationNumber + Gender part of speech

54. Ontology Localisation (LabelTranslator) “river”@en “rivière”@fr “fleuve”@fr Ambiguous!

56. Use linguistic features in the lexicon for better machine translation

58. To write domain specific grammars (meeting minutes)

59. Intermediate representation Domain ontology (e.g. meeting minutes) MLink Grammer LinkedGrammar

62. From text to triples?

63. Domain adaptation (meeting minutes)

65. “Lingual” (variations within one language)

66. Multilingual (between languages and cultures)

67. NLP Applications need domain and multilingual adaptation

68. Lexicon updates / extensions

69. Extraction rules updates / extensions

70. What do we need?

72. http://tiny.cc/tvzlc

73. The Monnet Project

74. Multilingual Ontologies for Network for Networked Knowledge

75. http://www.monnet-project.eu/

76. Lexinfo

77. http://lexinfo.net/