Similarity measures in scientometric research: the Jaccard index versus Salton's cosine formula
Information Processing and Management: an International Journal
Information Retrieval
Ontology Management in Enterprises
BT Technology Journal
ACM Computing Surveys (CSUR)
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Ontologies for Enterprise Knowledge Management
IEEE Intelligent Systems
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
SAMBO-A system for aligning and merging biomedical ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology management for large-scale enterprise systems
Electronic Commerce Research and Applications
Bootstrapping ontology alignment methods with APFEL
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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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.