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Towards a Rule-Based Matcher Selection

  • Malgorzata Mochol
  • Anja Jentzsch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5268)

Abstract

The central problems w.r.t. interoperability and data integration issues in the Semantic Web are schema and ontology matching approaches. Today it takes an expert to determine the best algorithm and a decision can usually be made only after experimentation, so as both the necessary scaling and off-the-shelf use of matching algorithms are not possible. To tackle these issues, we present a rule-based evaluation method in which the best algorithms are determined semi-automatically and the selection performs prior to the execution of an algorithm.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Malgorzata Mochol
    • 1
  • Anja Jentzsch
    • 1
  1. 1.Freie Universität BerlinBerlinGermany

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