Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/FSKD.2009.679 | FSKD (2) |
Keywords | Field | DocType |
evaluation metrics,key technology,semantic similarity-based ontology alignment,semantic web,extensional similarity measure,flexible mechanism,ontology similarity measure,alignment quality,enterprise ontologies,own ontology,large enterprise,enterprise ontology,multiple ontology,ontology alignment,ontologies,merging,interoperability,data mining,semantic similarity | Semantic similarity,Ontology (information science),Ontology-based data integration,Ontology alignment,Process ontology,Information retrieval,Computer science,Open Biomedical Ontologies,Upper ontology,Ontology components | Conference |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
1 | ||