Abstract :
Ontology, as a representation of shared conceptualization of specific domain, is a key technology for the semantic Web. In recent years, with the rapid development of the semantic Web, many large enterprises have established their own ontologies. In order for enterprises to facilitate communication and interoperability across multiple ontologies, we need a flexible mechanism to align ontologies. In this paper we present an approach to ontology alignment based on ontology similarity measures. Particularly, we introduce semantic similarity-based measures, i.e., attributional, relational, and extensional similarity measures. Furthermore, we give evaluation metrics on our approach with reference to ontology alignment quality.
Keywords :
ontologies (artificial intelligence); semantic Web; enterprise ontologies; flexible mechanism; interoperability; ontology similarity measures; semantic similarity-based ontology alignment; Automation; Biomedical measurements; Decision making; Fuzzy systems; Knowledge engineering; Manuals; Merging; Ontologies; Particle measurements; Semantic Web;