Document - Vague knowledge bases for matchmaking in P2P E-Marketplaces

2007

Conference article Open Access

Vague knowledge bases for matchmaking in P2P E-Marketplaces

Ragone A, Straccia U, Di Noia T, Di Sciascio E, Donini F M

Uncertainty Description Logics

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.

Metrics

Back to previous page

Cite as

BibTeX entry

@inproceedings{oai:it.cnr:prodotti:44028,
	title = {Vague knowledge bases for matchmaking in P2P E-Marketplaces},
	author = {Ragone A and Straccia U and Di Noia T and Di Sciascio E and Donini F M},
	doi = {10.1007/978-3-540-72667-8_30},
	year = {2007}
}