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Automatic ontology mapping for agent communication
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Peer-to-Peer: Harnessing the Power of Disruptive Technologies
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IEEE Internet Computing
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
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The description logic handbook: theory, implementation, and applications
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Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Virtual communities and team formation
Crossroads
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IBM Systems Journal - End-to-end security
Agent Community Based Peer-to-Peer Information Retrieval
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Ontology Mapping For Interaction in Agent Society
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
Ontology-guided learning to improve communication between groups of agents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A context-aware approach for service selection using ontologies
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
ACM SIGMOD Record
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Parallel and Distributed Systems
Applied Ontology
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AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Stable strategies for sharing information among agents
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Engineering self-organizing referral networks for trustworthy service selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Commerce relies on dynamic creation and modification of services. New service offerings or service demands come into play frequently. Whereas traditional commerce supports creation of new service demands from consumers, e-commerce has so far expected service providers to come up with desirable new service offerings and assigned service consumers a passive role in the process. That is, current e-commerce architecture lacks a consumer-driven approach for the generation of new service descriptions. This paper bridges this gap by proposing a multiagent system of consumers that represent their service needs semantically using ontologies. Using our proposed approach, agents can create new service descriptions, share them with interested others, and use service descriptions that are created by other agents. Hence, more accurate concepts describing consumers' service needs are cooperatively and iteratively created. This leads to a society of consumers with different but overlapping ontologies where mutually accepted service concepts emerge based on consumers' exchange of service descriptions. Our simulations of consumer societies show that allowing cooperative evolution of service ontologies facilitates better representation of consumers' service needs. Further, through cooperation, not only more useful service concepts emerge over time, but also ontologies of consumers having similar service needs become aligned gradually.