WordNet-Inspired Terminological Resources for Bio-NLP

Authors Elena Beisswanger, Michael Poprat, Udo Hahn



PDF
Thumbnail PDF

File

DagSemProc.08131.20.pdf
  • Filesize: 43 kB
  • 1 pages

Document Identifiers

Author Details

Elena Beisswanger
Michael Poprat
Udo Hahn

Cite As Get BibTex

Elena Beisswanger, Michael Poprat, and Udo Hahn. WordNet-Inspired Terminological Resources for Bio-NLP. In Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives. Dagstuhl Seminar Proceedings, Volume 8131, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/DagSemProc.08131.20

Abstract

WordNet is currently the most widely used lexicon resource for general English language. We here argue in favor of a similar lexical resource for biomedicine, BioWordNet, to extend the virtues of WordNet to this sublanguage domain.  We present a simple approach to
semi-automatically build up such a resource. It crucially builds on the conversion of structured domain knowledge taken from the Open Biomedical Ontologies (OBO) and the subsequent mapping of this library to WordNet's lexicographic file format. We report on the shortcomings of the original WordNet format that hampered this approach. Subsequently we propose alternative strategies to construct a BioWordNet in a more up-to-date representation such as the Web Ontology Language (OWL). Finally we point out the steps ahead when building up such a domain-specific resource from various sources and
discuss the general problems that need to be solved when integrating the BioWordNet into the original WordNet.

Subject Classification

Keywords
  • WordNet
  • Bio-Ontologies

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail