Semantic Enrichment of Ontology Mappings: Detecting Relation Types and Complex Correspondences

While there are numerous tools for ontology matching, most approaches provide only little information about the true nature of the correspondences they discover, restricting themselves on the mere links between matching concepts. However, many disciplines such as ontology merging, ontology evolution or data transformation, require more-detailed information, such as the concrete relation type of matches or information about the cardinality of a correspondence (oneto-one or one-to-many). In this study we present a new approach where we denote additional semantic information to an initial ontology mapping carried out by a state-of-the-art matching tool. The enriched mapping contains the relation type (like equal, is-a, part-of) of the correspondences as well as complex correspondences. We present different linguistic, structural and background knowledge strategies that allow semi-automatic mapping enrichment, and according to our first internal tests we are already able to add valuable semantic information to an existing ontology mapping.