Summary of the paper

Title Flexible Ontology Population from Text: The OwlExporter
Authors René Witte, Ninus Khamis and Juergen Rilling
Abstract Ontology population from text is becoming increasingly important for NLPapplications. Ontologies in OWL format provide for a standardized means ofmodeling, querying, and reasoning over large knowledge bases. Populated fromnatural language texts, they offer significant advantages over traditionalexport formats, such as plain XML. The development of text analysis systems hasbeen greatly facilitated by modern NLP frameworks, such as the GeneralArchitecture for Text Engineering (GATE). However, ontology population is notcurrently supported by a standard component. We developed a GATE resourcecalled the OwlExporter that allows to easily map existing NLP analysispipelines to OWL ontologies, thereby allowing language engineers to createontology population systems without requiring extensive knowledge of ontologyAPIs. A particular feature of our approach is the concurrent population andlinking of a domainand NLP-ontology, including NLP-specific features such assafe reasoning over coreference chains.
Language Tools, systems, applications
Topics Ontologies, Semantic Web, Tools, systems, applications
Full paper Flexible Ontology Population from Text: The OwlExporter
Bibtex @InProceedings{WITTE10.932,
  author = {René Witte, Ninus Khamis and Juergen Rilling},
  title = {Flexible Ontology Population from Text: The OwlExporter},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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