License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08131.11
URN: urn:nbn:de:0030-drops-15095
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1509/
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Buitelaar, Paul

Ontologies & Text Mining (for Life Sciences)

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08131.BuitelaarPaul.ExtAbstract.1509.pdf (0.02 MB)


Abstract

The talk will address several issues in the application and development of ontologies: the selection of appropriate ontologies for a task; the population of a selected ontology through information extraction from text; the semi-automatic development or extension of an ontology; the lexicalisation of ontologies for the purpose of ontology-based information extraction from text. Each of these issues will be addressed through a particular application: the OntoSelect ontology library and search engine (http://olp.dfki.de/ontoselect/); the OntoLT Protege PlugIn for ontology learning from text (http://olp.dfki.de/OntoLT/OntoLT.htm); the SOBA system for ontology-based information extraction from text; the LingInfo lexicon model for the integration of lexical/linguistic information in ontologies (http://olp.dfki.de/LingInfo/).


BibTeX - Entry

@InProceedings{buitelaar:DagSemProc.08131.11,
  author =	{Buitelaar, Paul},
  title =	{{Ontologies \& Text Mining (for Life Sciences)}},
  booktitle =	{Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8131},
  editor =	{Michael Ashburner and Ulf Leser and Dietrich Rebholz-Schuhmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1509},
  URN =		{urn:nbn:de:0030-drops-15095},
  doi =		{10.4230/DagSemProc.08131.11},
  annote =	{Keywords: Ontology Search; Ontology Population; Ontology Learning; Lexical Enrichment of Ontologies}
}

Keywords: Ontology Search; Ontology Population; Ontology Learning; Lexical Enrichment of Ontologies
Collection: 08131 - Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives
Issue Date: 2008
Date of publication: 03.06.2008


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