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.
|Titolo:||Vague knowledge-bases for matchmaking in p2p e-marketplaces|
|Data di pubblicazione:||2007|
|Nome del convegno:||4th European Semantic Web Conference, ESWC 2007|
|Digital Object Identifier (DOI):||10.1007/978-3-540-72667-8_30|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|