Relaxed Precision and Recall for Ontology Matching

Marc Ehrig 1 Jérôme Euzenat 2
1 AIFB - Institut für Angewandte Informatik und Formale Beschreibungsverfahren
2 EXMO - Computer mediated exchange of structured knowledge
Inria Grenoble - Rhône-Alpes
Abstract : In order to evaluate the performance of ontology matching algorithms it is necessary to confront them with test ontologies and to compare the results. The most prominent criteria are precision and recall originating from information retrieval. However, it can happen that an alignment be very close to the expected result and another quite remote from it, and they both share the same precision and recall. This is due to the inability of precision and recall to measure the closeness of the results. To overcome this problem, we present a framework for generalizing precision and recall. This framework is instantiated by three different measures and we show in a motivating example that the proposed measures are prone to solve the problem of rigidity of classical precision and recall.
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Communication dans un congrès
Proc. K-Cap 2005 workshop on Integrating ontology, Oct 2005, Banff, Canada. No commercial editor., pp.25-32, 2005, Proc. K-Cap 2005 workshop on Integrating ontology
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Dernière modification le : mercredi 11 avril 2018 - 01:56:23
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Marc Ehrig, Jérôme Euzenat. Relaxed Precision and Recall for Ontology Matching. Proc. K-Cap 2005 workshop on Integrating ontology, Oct 2005, Banff, Canada. No commercial editor., pp.25-32, 2005, Proc. K-Cap 2005 workshop on Integrating ontology. 〈hal-00922279〉

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