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Comparing similarity combination methods for schema matching
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Datum
2010
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Gesellschaft für Informatik e.V.
Zusammenfassung
A recurring manual task in data integration or ontology alignment is finding mappings between complex schemas. In order to reduce the manual effort, many matching algorithms for semi-automatically computing mappings were introduced. In the last decade it turned out that a combination of matching algorithms often improves mapping quality. Many possible combination methods can be found in literature, each promising good result quality for a specific domain of schemas. We introduce the rationale of each strategy shortly. Then we evaluate the most commonly used methods on a number of mapping tasks and try to find the most robust strategy that behaves well across all given tasks.