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- paper-283 type InProceedings.
- paper-283 label "Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces".
- paper-283 sameAs paper-283.
- paper-283 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.".
- paper-283 hasAuthorList authorList.
- paper-283 keyword "DLR-Lite".
- paper-283 keyword "Fuzzy Logic".
- paper-283 keyword "P2P marketplace".
- paper-283 keyword "Semantic matchmaking".
- paper-283 title "Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces".