A local search mechanism for peer-to-peer networks
Proceedings of the eleventh international conference on Information and knowledge management
Making gnutella-like P2P systems scalable
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Adaptive Probabilistic Search for Peer-to-Peer Networks
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
A survey of peer-to-peer content distribution technologies
ACM Computing Surveys (CSUR)
Search with Probabilistic Guarantees in Unstructured Peer-to-Peer Networks
P2P '05 Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing
Risk Driven Semantic P2P Service Retrieval
P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Expertise-based peer selection in Peer-to-Peer networks
Knowledge and Information Systems
Efficient Semantic Web Service Discovery in Centralized and P2P Environments
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Semantic interoperability and dynamic resource discovery in P2P systems
RED'09 Proceedings of the 2nd international conference on Resource discovery
Promoting cooperation in service-oriented MAS through social plasticity and incentives
Journal of Systems and Software
Semantic web services publication and OCT-based discovery in structured P2P network
Service Oriented Computing and Applications
Enhancing decentralized service discovery in open service-oriented multi-agent systems
Autonomous Agents and Multi-Agent Systems
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In this paper, we present an approach, called RS2D v1, to adaptive probabilistic search for semantic web services in unstructured P2P networks. Each service agent dynamically learns the averaged query-answer behavior of its neighbor peers, and forwards service requests to those with minimal mixed Bayesian risk of doing so in terms of estimated semantic gain and commmunication cost. Experimental evaluation shows that the RS2D search mechanism is robust against changes in the network, and fast with reasonably high precision compared to other existing relevant approaches.