A corpus-driven approach for design, evolution and alignment of ontologies

Authors:
Thomas Wächter;André Wobst;Michael Schroeder;He Tan;Patrick Lambrix
Affiliations:
Biotechnologisches, Zentrum, TU Dresden, Germany;Biotechnologisches, Zentrum, TU Dresden, Germany;Biotechnologisches, Zentrum, TU Dresden, Germany;Linköpings universitet, Linköping, Sweden;Linköpings universitet, Linköping, Sweden
Venue:
Proceedings of the 38th conference on Winter simulation
Year:
2006

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Abstract

Bio-ontologies are hierarchical vocabularies, which are used to annotate other data sources such as sequence and structure databases. With the wide use of ontologies their integration, design, and evolution becomes an important problem. We show how textmining on relevant text corpora can be used to identify matching ontology terms of two separate ontologies and to propose new ontology terms for a given term. We evaluate these approaches on the GeneOntology.