This presentation was given at the MSW2 Workshop It gives an overview over the current state of NIF in its version 1.0

4. reference implementations of NIF

5. collaboration platform

6. tutorials / example source code

7. mailing list for questions and support

8. possible to join the mailing list on http://nlp2rdf.org

10. URI design

11. NLP domain vocabularies

12. Applications NLP2RDF + NIF

14. For each tool and each framework an adapter has to be created (n*m)

15. No ad-hoc integration

16. Difficult to aggregate output

17. Difficult to exchange single components

18. Not robust: if step 6 of 20 steps fails no output is produced

19. NLP2RDF – NIF Use Cases

20. NLP2RDF – NIF Use Cases Included in RDF/OWL as - rdf:type - rdfs:subClassOf - links and mappings

21. NLP2RDF – NIF Use Cases Intra -changeable, but not inter -changeable: Gate Plugin can not be used in UIMA easily

22. NIF – Integration Architecture

23. NIF – URI Design URI Design How to address Strings with URIs

24. NIF – How to address Strings with URIs?

25. NIF – How to address Strings with URIs?

26. Comparison of URI Recipes http://www.w3.org/DesignIssues/LinkedData.html#offset_14406_14418_Semantic+Web http://www.w3.org/DesignIssues/LinkedData.html#hash_4_12_79edde636fac847c006605f82d4c5c4d_Semantic+Web

27. Comparison of URI Recipes

28. NIF – Combining RDF

29. NIF – Snowball Stemmer

30. NIF – Stanford Core

31. NIF – Combined RDF

35. http://nlp2rdf.lod2.eu/schema/string/

38. => Reuse of a Reference Vocabulary/Ontology for each NLP layer

41. XLIFF

42. NER-Type Ontology: SCMS ( http://scms.eu ), MUC types, DBpedia Ontology

44. An ontology of reference terms ( Reference Model )

45. ontologies that implement subClassOf relationships between them ( Linking Models ). OLiA [Chiarcos 2008, 2010] http://nachhalt.sfb632.uni-potsdam.de/owl/

46. OLIA

47. OLIA Currently 32 Annotation Models for 69 languoids available at: http://nachhalt.sfb632.uni-potsdam.de/owl/ The ontologies can be instrumentalized to achieve parser, tagset, language and framework independence .

48. OliA - NIF Integration

49. NIF Tutorial Challenges for Adoption http://nlp2rdf.org/tutorial-challenges/tutorial-challenge-multilingual-part-of-speech-tagger

51. Wrappers currently in development: DBpedia Spotlight, UIMA, Gate ANNIE, LingPipe, MontyLingua, OpenNLP

52. In LOD2: Zemanta, NooJ, Korean POS taggers

55. Interactive Tutorial challenges online

56. NIF 2.0-draft will be refined based on the experience gained during the implementation of NIF 1.0

57. Find experts to model more NLP Layers

61. RDF makes data integration easy: URIs, LinkedData

62. OWL is based on Description Logics (Guarded Fragment)

63. Availability of open data sets (access and licence)

64. Reusability of Vocabularies and Ontologies

65. Diverse serializations for annotations: XML, Turtle, RDFa+XHTML

66. Scalable tool support (Databases, Reasoning)

67. Data is flexible and can produce indexes Meaning Representation Language

68. Meaning Representation Language

70. POS tag / Dependency parser (e.g. Stanford)

71. create a rule/pattern language to extract facts and knowledge

72. Lot's of home-made solutions and problems! Knowledge Extraction with SPARQL

74. # Example:

75. # A fish is any aquatic vertebrate animal that is covered with scales, and equipped with two sets of paired fins and several unpaired fins.

76. # [fish] subClassOf [any aquatic vertebrate animal that is covered …]

77. Cave: The query is out of date

78. Construct {?sub rdfs:subClassOf ?super} {

79. ?is a penn:BePresentTense .

80. ?is nlp:superToken ?is_any_aquatic_.

81. ?is_any_aquatic_ a olia:VerbPhrase .

82. ?is_any_aquatic_ nlp:syntacticSubToken [ nlp:normUri ?super] .

83. ?animal nlp:cop ?is .

84. ?animal nlp:nsubj ?fish .?fish nlp:superToken [ nlp:normUri ?sub] .

85. } Knowledge Extraction with SPARQL

86. Project: http://lod2.eu Organisation: http://uni-leipzig.de , http://aksw.org Presenter: http://bis.informatik.uni-leipzig.de/SebastianHellmann NLP2RDF page: http://nlp2rdf.org