Methods for a Synchronised Evolution of Databases and Associated Ontologies

  • Authors:
  • Andreas Kupfer;Silke Eckstein;Britta Störmann;Karl Neumann;Brigitte Mathiak

  • Affiliations:
  • Institute of Information Systems, TU Braunschweig, Germany;Institute of Information Systems, TU Braunschweig, Germany;Institute of Information Systems, TU Braunschweig, Germany;Institute of Information Systems, TU Braunschweig, Germany;Institute of Information Systems, TU Braunschweig, Germany

  • Venue:
  • Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006
  • Year:
  • 2007

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Abstract

Ontologies are well applicable for the description of scientific databases and thus provide appropriate means to link different databases. In a first step it is useful to generate initial ontologies from the respective database schemas. They can be completed with more specific information later on. If the database schemas change, however, these changes should now automatically be propagated to the respective ontologies. Using a realistic example from the biological field of signal transduction pathways, we demonstrate that the suggested approach is both, feasible and reasonable.