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Ontologies & Text Mining (for Life Sciences) Buitelaar, Paul Ontology Search; Ontology Population; Ontology Learning; Lexical Enrichment of Ontologies 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/). Schloss Dagstuhl – Leibniz-Zentrum für Informatik Paul Buitelaar 2008 Is Part Of Dagstuhl Seminar Proceedings, Volume 8131, Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives (2008) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08131.11 urn:nbn:de:0030-drops-15095 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08131.11 eng https://creativecommons.org/licenses/by/4.0/legalcode