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Conference Papers Year : 2011

A Generic Approach for Combining Linguistic and Context Profile Metrics in Ontology Matching

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Duy Hoa Ngo
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  • PersonId : 913532
Zohra Bellahsene
Remi Coletta
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  • PersonId : 932759

Abstract

Ontology matching is needed in many application domains. In this paper, we present a machine learning approach for combining metrics, which exploits various linguistic and context profiles features in order to discover mappings between entities of different ontologies. Our approach has been implemented and the experimental results over Benchmark and Conference test cases on OAEI 2010 campaign demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility.
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Dates and versions

lirmm-00639714 , version 1 (09-11-2011)

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Duy Hoa Ngo, Zohra Bellahsene, Remi Coletta. A Generic Approach for Combining Linguistic and Context Profile Metrics in Ontology Matching. ODBASE: Ontologies, DataBases, and Applications of Semantics, Oct 2011, Crete, Greece. pp.800-807, ⟨10.1007/978-3-642-25106-1_27⟩. ⟨lirmm-00639714⟩
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