Ontologies & Text Mining (for Life Sciences)

Author Paul Buitelaar



PDF
Thumbnail PDF

File

DagSemProc.08131.11.pdf
  • Filesize: 17 kB
  • 1 pages

Document Identifiers

Author Details

Paul Buitelaar

Cite AsGet BibTex

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

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