A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Comparison of Schema Matching Evaluations
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
From Surface to Intensive Matching of Semantic Web Ontologies
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
ACM SIGMOD Record
Semantic Web and Peer-to-Peer: Decentralized Management and Exchange of Knowledge and Information
Semantic Web and Peer-to-Peer: Decentralized Management and Exchange of Knowledge and Information
An approach to Ontology Mapping based on the Lucene search engine library
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Resource discovery considering semantic properties in data grid environments
Globe'11 Proceedings of the 4th international conference on Data management in grid and peer-to-peer systems
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Ontology Mapping is mandatory for enabling semantic interoperability among different agents and services making use of different ontologies. The ontology mapping problem becomes more critical in P2P systems since: (i) the number of different ontologies can dramatically increase; (ii) ontology mapping must be performed on the fly and only on parts of ontologies contextual to a specific interaction in which the peers are involved; (iii) complex mapping strategies (e.g., structural mapping) cannot be exploited since peers are not aware of one another's ontologies. Hence, specific techniques have to be designed. This paper presents and evaluate the SEmantiC COordinator (SECCO) ontology mapping algorithm that addresses the abovementioned issues by adopting a mapping strategy based on the evaluation of three different similarity measures: syntactic, lexical and contextual.