A database ontology for signal transduction pathways

  • Authors:
  • Andreas Kupfer;Silke Eckstein;Britta Stormann;Brigitte Mathiak

  • Affiliations:
  • Institute of Information Systems, Technical University of Braunschweig, Muhlenpfordtstr. 23, 38106 Braunschweig, Germany.;Institute of Information Systems, Technical University of Braunschweig, Muhlenpfordtstr. 23, 38106 Braunschweig, Germany.;Robert Koch Institute, ZBS3 Mikrobielle Toxine, Nordufer 20, 13353 Berlin, Germany.;Institute of Information Systems, Technical University of Braunschweig, Muhlenpfordtstr. 23, 38106 Braunschweig, Germany

  • Venue:
  • International Journal of Bioinformatics Research and Applications
  • Year:
  • 2007

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Abstract

Ontologies are one of the key technologies for data integration and meta-databases, by connecting databases at a semantical level. Still, the database has to be connected to the ontology and vice versa. To achieve this, we propose a two step process. First, we automatically generate an ontology directly from the database schema. Next, we annotate this with concepts from a domain specific ontology. We demonstrate this for signal transduction pathways, which describe how cells can react to external stimuli. In this paper we present our mapping of database schemas to ontologies and describe how these ontologies can be enriched by semantical information.