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. © 2008 Springer-Verlag Berlin Heidelberg.

An algorithm for discovering ontology mappings in P2P systems / Pirrò, Giuseppe; Ruffolo, Massimo; Talia, Domenico. - (2008), pp. 631-641. ((Intervento presentato al convegno 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems tenutosi a Santiago [10.1007/978-3-540-85565-1-78].

An algorithm for discovering ontology mappings in P2P systems

Pirrò, Giuseppe
;
2008

Abstract

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. © 2008 Springer-Verlag Berlin Heidelberg.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1274434
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