1. NLP2RDFIntegration of Data, Tools andApplicationswith RDF/OWL in the Areas of Textmining andLinguistics PhD Thesis, Sebastian Hellmann

5. Text

9. Ontologieswerefoundandintegrated

10. Pipeline implemented

11. Pluginsystemimplemented

13. Integration boundto Java

14. Data sourceswere not sufficient

15. Wikipedia/DBpediatoocourse-grained

17. Why RDF and OWL ? RDF makesdataintegration easy: URIref, LinkedData OWL isbased on Description Logics (Guarded Fragment) Availabilityof open datasets (accessandlicence) Diverse serializationsforannotations: XML, Turtle, RDFa+XHTML Scalabletoolsupport (Databases, Reasoning) 6. Iftheonlytoolyouhaveis a hammer, everythinglookslike a nail.

19. Crystalizationpoint (earlybird)Linking Open Data clouddiagram, by Richard CyganiakandAnja Jentzsch. http://lod-cloud.net/

22. URIs pointingtosubjects in the same table

24. SPARQL – optimizationsfortablejoins

25. Creationofdatasets: Wiktionary2RDF

27. Total of 10 millionpages

28. 900.000 users

29. RDF Dump will increasenumberofeditors

30. Same propertiesas Wikipedia (stableidentifiers)

31. HundredsofWiktionaryparsers (especiallyfor English)

32. Information istrapped in theWiki

34. Configurationover Code, Templates will allowWiktionariansto update Parsers

36. Usecases

37. Other datasetsto link to!

38. Wikipedia as a linkingpartner not suited

40. Dictionaries

41. Corporas

43. WhichWiktionaryrelationcanbelinkedtowhichstatisticalrelation?

44. Can webuildtoolsthathelpsWiktionaryeditors (Suggestions)?

45. Wiktionary links Words acrosslanguages. Are thereanysimilarpatterns?

47. 6-7 Members

50. Relation betweenStrings: previous, next, sub, super

52. Multiple servicescanbe ad-hoc integrated

53. Multiple layersofannotationcanbeused

54. Fullcompatabilitywith POWLA

56. Ontology Learning Johanna Völker – Learning Expressive Ontologies(LExO) # Example: # A fishisanyaquaticvertebrateanimalthatiscoveredwithscales, # andequippedwithtwosetsofpairedfinsandseveralunpairedfins. # # [fish] subClassOf [anyaquaticvertebrateanimalthatiscovered…] #Construct {?subrdfs:subClassOf ?super} { Construct {?subowl:equivalentClass ?super} { ?is a penn:BePresentTense . ?isnlp:superToken ?is_any_aquatic_. ?is_any_aquatic_ a olia:VerbPhrase . ?is_any_aquatic_ nlp:syntacticSubToken [ nlp:normUri ?super] . ?animalnlp:cop ?is . ?animalnlp:nsubj ?fish .?fishnlp:superToken [ nlp:normUri ?sub] . }

57. Standing on theshouldersofgiants Christian Chiarcos SFB632 - Uni Potsdam Johanna Völker Uni Mannheim Markus Strohmaier, TU Graz Thankyouforyourattention Jens Lehmann Uni Leipzig Sören Auer Uni Leipzig