In this paper we propose an approach to semantic matchmaking that exploits various knowledge representation technologies to find most promising partners in peer-to-peer e-marketplaces. In particular we mix in a formal and principled way the semantic expressiveness of DLR-lite Logic Programs, fuzzy logic and utility theory. We adopt DLR-Lite Logic Programs to obtain a reasonable compromise between expressiveness and complexity to ensure the scalability of our approach to large e-marketplaces, and Fuzzy Logic to model logical specifications as soft constraints. Furthermore, fully exploiting the peer-to-peer paradigm, we consider in the matchmaking process preferences and corresponding utilities of both parties.
Vague knowledge-bases for matchmaking in p2p e-marketplaces / Ragone, A.; Straccia, U.; DI NOIA, Tommaso; DI SCIASCIO, Eugenio; Donini, F. M.. - STAMPA. - 4519:(2007), pp. 414-428. (Intervento presentato al convegno 4th European Semantic Web Conference, ESWC 2007 tenutosi a Innsbruck, Austria nel June 3-7, 2007) [10.1007/978-3-540-72667-8_30].
Vague knowledge-bases for matchmaking in p2p e-marketplaces
DI NOIA, Tommaso;DI SCIASCIO, Eugenio;
2007-01-01
Abstract
In this paper we propose an approach to semantic matchmaking that exploits various knowledge representation technologies to find most promising partners in peer-to-peer e-marketplaces. In particular we mix in a formal and principled way the semantic expressiveness of DLR-lite Logic Programs, fuzzy logic and utility theory. We adopt DLR-Lite Logic Programs to obtain a reasonable compromise between expressiveness and complexity to ensure the scalability of our approach to large e-marketplaces, and Fuzzy Logic to model logical specifications as soft constraints. Furthermore, fully exploiting the peer-to-peer paradigm, we consider in the matchmaking process preferences and corresponding utilities of both parties.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
