Foundations of logic programming
Foundations of logic programming
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
Logic programming and databases
Logic programming and databases
Carnot and InfoSleuth: database technology and the World Wide Web
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Query reformulation for dynamic information integration
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Integrating information via matchmaking
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Communications of the ACM
Matchmaking for autonomous agents in electronic marketplaces
Proceedings of the fifth international conference on Autonomous agents
PHOSPHORUS: a task-based agent matchmaker
Proceedings of the fifth international conference on Autonomous agents
Complexity and expressive power of logic programming
ACM Computing Surveys (CSUR)
Semantic web support for the business-to-business e-commerce lifecycle
Proceedings of the 11th international conference on World Wide Web
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
The RETSINA MAS Infrastructure
Autonomous Agents and Multi-Agent Systems
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
A logic programming framework for possibilistic argumentation with vague knowledge
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Optimization of relational preference queries
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
SMART " A Semantic Matchmaking Portal for Electronic Markets
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
A System for Principled Matchmaking in an Electronic Marketplace
International Journal of Electronic Commerce
Semantic matchmaking as non-monotonic reasoning: a description logic approach
Journal of Artificial Intelligence Research
Electronic Commerce Research and Applications
Towards top-k query answering in description logics: the case of DL-Lite
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
Variable-strength conditional preferences for ranking objects in ontologies
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Query answering in normal logic programs under uncertainty
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Fuzzy conformance checking of observed behaviour with expectations
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Assessment of E-Commerce security using AHP and evidential reasoning
Expert Systems with Applications: An International Journal
Top-k retrieval for ontology mediated access to relational databases
Information Sciences: an International Journal
A top-k query answering procedure for fuzzy logic programming
Fuzzy Sets and Systems
A new matchmaking approach based on abductive conjunctive query answering
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Tractable reasoning with vague knowledge using fuzzy $\mathcal{EL}^{++}$
Journal of Intelligent Information Systems
Semantic matchmaking and ranking: beyond deduction in retrieval scenarios
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
E-Marketplace Emergence: Evolution, Developments and Classification
Journal of Electronic Commerce in Organizations
Future Generation Computer Systems
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We present an approach to matchmaking in electronic marketplaces of peer entities, which mixes in a formal and principled way Datalog, fuzzy sets and utility theory, in order to determine the most promising matches between prospective counterparts. The use of Datalog ensures the scalability of our approach to large marketplaces, while fuzzy logic provides a neat connection with logical specifications and allows to model soft constraints and how well they could be satisfied by an agreement. Noteworthy is that our approach takes into account in the peer-to-peer matchmaking also preferences of each counterpart and their utilities. This allows to rule out of the match list those counteroffers that, although seemingly appealing for the buyer, would probably lead to failure due to contrasting preferences of the seller, and paves the way to the actual negotiation stage.