Fuzzy ontology integration using consensus to solve conflicts on concept level

초록

Nowadays, ontology has been backbone of Semantic web. However, the current ontologies are based on traditional logic such as first-order logic and description logic. The conceptual formalism of the ontologies cannot be fully representative for imprecise and vague information (e.g. "rainfall is very heavy") in many application domains. In this paper, a domain fuzzy ontology is defined clearly, and its components such as fuzzy relation, concrete fuzzy concept, and fuzzy domain concept as well as similarity measures between the components are addressed. Fuzzy ontology integration on concept level using consensus method to solve conflicts among the ontologies is proposed. In particular, the postulates for integration are specified and algorithms for reconciling conflicts among fuzzy concepts in ontology integration are proposed. © 2011 Springer-Verlag Berlin Heidelberg.