Published: 2005 Juli
Herausgeber: Pavel Shvaiko, Jerome Euzenat, Alain Leger, Deborah L. McGuinness, and Holger Wache
Buchtitel: Proceedings of the First International Workshop on Contexts and Ontologies: Theory, Practice and Applications (C&0). Workshop at the 20th National Conference on Artificial Intelligence, AAAI-05, Pittsburgh, Pennsylvania, July 2005
Reihe: Technical Report WS-05-01
Verlag: AAAI Press, Menlo Park, California
Ontology merging describes the process of integrating two (or more) ontologies into a single one. How this is done best is a subject of ongoing research in the Semantic Web community. We propose a generic solution to the question, what the result of a merging should be in the ideal case. We will do this independent of a specific choice of ontology representation language, and thus provide a sort of blueprint for the development of algorithms applicable in practice. Our methods are taken from category theory. More precisely, we will argue that ontology merging is best captured by the notion of categorical pushout. Our paper is a first step towards the development of practically applicable algorithms.