Supervised Learning of an Ontology Alignment Process

this paper an ontology consists of both schema and instantiating data. An ontology O is therefore defined through the following tuple: O := (C, HC , RC , HR , I, R I , A). Concepts C of the schema are arranged in a subsumption hierarchy HC . Relations RC exist between pairs of concepts. Relations can also be arranged in a hierarchy HR . (Meta-)Data is constituted by instances I of specific concepts. Theses instances are interconnected by relational instances R I . Additionally one can define axioms A which can be used to infer knowledge from already existing knowledge. Common languages to represent ontologies are RDF(S) or OWL , though one should note that each language offers different modeling primitive