Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces
A paper written by Francesco M. Donini, Tommaso Di Noia, Umberto Straccia, Azzurra Ragone and Eugenio Di Sciascio. It was presented at the ESWC2007. It is about DLR-Lite, Semantic matchmaking, Fuzzy Logic and P2P marketplace
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[edit] 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.
This data has been imported from the ESWC2007 RDF
