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Ontologies & Text Mining (for Life Sciences)

Author Paul Buitelaar



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Paul Buitelaar

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Paul Buitelaar. Ontologies & Text Mining (for Life Sciences). 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.08131.11

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/).
Keywords
  • Ontology Search; Ontology Population; Ontology Learning; Lexical Enrichment of Ontologies

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