Titlebook: Ontology Matching; Jér?me Euzenat,Pavel Shvaiko Book 20071st edition Springer-Verlag Berlin Heidelberg 2007 Alignment.Extensible Markup La

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Introductionon the precision of this specification, the notion of ontology encompasses several data or conceptual models, e.g., classifications, database schemas, fully axiomatised theories. Ontologies tend to be everywhere. They are viewed as the silver bullet for many applications, such as database integratio

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The matching problemded. Different actors have different interests and habits, use different tools and knowledge, and most often, at different levels of detail. These various reasons for heterogeneity lead to diverse forms of heterogeneity, and, therefore, should be carefully taken into consideration.

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Overview of matching systemss, in particular in [Parent and Spaccapietra, 2000, Rahm and Bernstein, 2001, Do ., 2002, Kalfoglou and Schorlemmer, 2003b, Noy, 2004a, Doan and Halevy, 2005, Shvaiko and Euzenat, 2005]. Our purpose here is not to compare them in full detail, though we give some comparisons, but rather to show their

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Explaining alignmentsthus use them, they need information about them, e.g., they need access to the sources that were used to determine semantic correspondences between ontology entities. Explanations are also useful when matching large applications with thousands of entities, e.g., business product classifications, suc

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Conclusionsneed ontology matching (Chap. 1) and that there are different forms of ontologies that may need to be matched (Chap. 2). Ontology matching can take advantage of innumerable basic techniques (Chap. 4) composed and supervised in diverse ways (Chap. 5). The output of matching can be provided according