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.
Autori: | |
Titolo: | Vague knowledge-bases for matchmaking in p2p e-marketplaces |
Data di pubblicazione: | 2007 |
Nome del convegno: | 4th European Semantic Web Conference, ESWC 2007 |
ISBN: | 978-3-540-72666-1 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-540-72667-8_30 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |