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Ontologies and Text Mining as a Basis for a Semantic Web for the Life Sciences

  • Andreas Doms
  • Vaida Jakonienė
  • Patrick Lambrix
  • Michael Schroeder
  • Thomas Wächter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4126)

Abstract

The life sciences are a promising application area for semantic web technologies as there are large online structured and unstructured data repositories and ontologies, which structure this knowledge. We briefly give an overview over biomedical ontologies and show how they can help to locate, retrieve, and integrate biomedical data. Annotating literature with ontology terms is an important problem to support such ontology-based searches. We review the steps involved in this text mining task and introduce the ontology-based search engine GoPubMed. As the underlying data sources evolve, so do the ontologies. We give a brief overview over different approaches supporting the semi-automatic evolution of ontologies.

Keywords

Gene Ontology Ontology Term Mapping Rule Ontology Evolution Open Biomedical Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Andreas Doms
    • 1
  • Vaida Jakonienė
    • 2
  • Patrick Lambrix
    • 2
  • Michael Schroeder
    • 1
  • Thomas Wächter
    • 1
  1. 1.Biotechnological CentreTechnische Universität DresdenGermany
  2. 2.Department of Computer and Information ScienceLinköpings universitetSweden

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