Towards a Rule-Based Matcher Selection
Identifieur interne : 000939 ( Main/Exploration ); précédent : 000938; suivant : 000940Towards a Rule-Based Matcher Selection
Auteurs : Malgorzata Mochol [Allemagne] ; Anja Jentzsch [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-87696-0_12
Affiliations:
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<front><div type="abstract" xml:lang="en">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.</div>
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