Conceptual and Context based Combination of Schema Matchers

In this paper we are presenting a semi-automated schema matching approach named C3SM (conceptual and context based combination of schema matchers). A single schema matching technique is unlikely to be successful to achieve high match accuracy for a large variety of schemas therefore C3SM combines different matchers. C3SM exploits various types of schema information, e.g. element names, data types and structural properties. It also utilizes auxiliary sources, such as taxonomies, dictionaries, thesauri or synonym tables. In order to manage different types of heterogeneities and to increase the accuracy of the similarity assertions generated, matching between elements is performed in the contexts in which they are modeled and similarity is established on the basis of the concepts that the elements model.