WordNet: a lexical database for English
Communications of the ACM
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Local consensus ontologies for B2B-oriented service composition
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Annals of Mathematics and Artificial Intelligence
Agent-based ontology alignment: basics, applications, theoretical foundations, and demonstration
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
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Because there is still no agreed-upon global ontology, Web services supplied by different providers typically have individual and unique semantics, described by independently developed ontologies. The seamless connection of these distributed Web services for business-to-business applications depends heavily on reconciling the disparate semantics, possibly by integrating the ontologies. In this paper, we describe an approach to reconcile ontologies from distributed Web services. Our approach is totally automated, and features the following: i) alignment of the ontologies is performed without previous agreement on the semantics of the terminology in each ontology; ii) both linguistic and contextual features are considered; iii) the use of WordNet for linguistic analysis; iv) integration of heuristic knowledge for contextual analysis; and v) inference of new relationships by applying several rules based on domain-independent relationships and property lists. Experiments have been carried out to show the promising results of our system.