2010 FlexibleOntPopFromText
- (Witte et al., 2010) ⇒ René Witte, Ninus Khamis, Juergen Rilling. (2010). “Flexible Ontology Population from Text: The OwlExporter.” In: Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC 2010).
Subject Headings: Ontology Population from Text System.
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Abstract
Ontology population from text is becoming increasingly important for NLP applications. Ontologies in OWL format provide for a standardized means of modeling, querying, and reasoning over large knowledge bases. Populated from natural language texts, they offer significant advantages over traditional export formats, such as plain XML. The development of text analysis systems has been greatly facilitated by modern NLP frameworks, such as the General Architecture for Text Engineering (GATE). However, ontology population is not currently supported by a standard component. We developed a GATE resource called the OwlExporter that allows to easily map existing NLP analysis pipelines to OWL ontologies, thereby allowing language engineers to create ontology population systems without requiring extensive knowledge of ontology APIs.
A particular feature of our approach is the concurrent population and linking of a domain and NLP-ontology, including NLP-specific features such as safe reasoning over coreference chains.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2010 FlexibleOntPopFromText | René Witte Ninus Khamis Juergen Rilling | Flexible Ontology Population from Text: The OwlExporter | http://www.lrec-conf.org/proceedings/lrec2010/pdf/932 Paper.pdf |