Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Fuzzy matchmaking in e-marketplaces of peer entities using Datalog
Fuzzy Sets and Systems
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
International Journal of Electronic Commerce
A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces
International Journal of Electronic Commerce
Abduction and Contraction for Semantic-Based Mobile Dating in P2P Environments
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Increasing Bid Expressiveness for Effective and Balanced E-Barter Trading
Declarative Agent Languages and Technologies VI
Technical construction methods for e-marketplace
Proceedings of the 11th International Conference on Electronic Commerce
Semantic matchmaking as non-monotonic reasoning: a description logic approach
Journal of Artificial Intelligence Research
DeLorean: A reasoner for fuzzy OWL 2
Expert Systems with Applications: An International Journal
Rule-based personalized comparison shopping including delivery cost
Electronic Commerce Research and Applications
Explanation services and request refinement in user friendly semantic-enabled b2c e-marketplaces
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
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Searching and comparing products in electronic markets is still a challenging problem. On one hand, the expressive power of the search mechanisms offered by the existing electronic markets is too limited. On the other hand, the price is mostly the only criterium of comparing the results with each other. In this paper, we introduce SMART (Semantic Matchmaking Portal) to improve searching and comparing products in electronic markets. Therefore, we present a novel matchmaking approach based on fuzzy descriptions that provide a more expressive search mechanism that is closer to human reasoning and aggregates multiple search criteria to a single value (ranking of an offer relative to the query), thus enabling better selection of offers that should be considered for the negotiation.