Communications of the ACM
A reputation system for peer-to-peer networks
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Autonomous trust construction in multi-agent systems: a graph theory methodology
Advances in Engineering Software
P2P reputation management: Probabilistic estimation vs. social networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Management in peer-to-peer systems
An approach for service discovery based on semantic peer-to-peer
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Searching dynamic communities with personal indexes
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Factoid mining based content trust model for information retrieval
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
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Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to which anyone may contribute, especially when using a P2P-based multi-agent infrastructure for knowledge sharing. This raises the question of how much credence to give each information source. We cannot expect each user to know the trustworthiness of each source. We tackle this problem by employing a reputation mechanism, which offer a viable solution to encouraging trustworthy behavior in Semantic Web. In addition, we introduce a reputation multi-agent system, SemTrust, which enable Semantic Web to utilize reputation mechanism based on semantic similarity between agents. Our experiments show that the system with SemTrust outperforms the system without it and our approach is more robust with security under conditions where existing malicious agents. We hope that these methods will help move the Semantic Web closer to fulfilling its promise by using reputation-based multi-agent technology.