Towards a Rule-Based Matcher Selection

Authors:
Malgorzata Mochol;Anja Jentzsch
Affiliations:
Freie Universität Berlin, Berlin, Germany D-14195;Freie Universität Berlin, Berlin, Germany D-14195
Venue:
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Year:
2008

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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.