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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Flexible System for Ontology Matching
verfasst von : DuyHoa Ngo, Zohra Bellahsene, Remi Coletta
Erschienen in: IS Olympics: Information Systems in a Diverse World
Verlag: Springer Berlin Heidelberg
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Most of the solutions provided by current ontology matching tools lack flexibility and extensibility namely for adding new matchers and dealing with users’ requirements. In this paper, we present a system YAM++, which supports self-configuration, flexibility and extensibility in combining individual matchers. Additionally, it is more human-centered approach since it allows users to express their preference between precision and recall. A set of experiments over OAEI Benchmark datasets demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility of the system.