Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
The Knowledge Engineering Review
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
A Survey of Policy-Based Management Approaches for Service Oriented Systems
ASWEC '08 Proceedings of the 19th Australian Conference on Software Engineering
Multi-dimensional evidence-based trust management with multi-trusted paths
Future Generation Computer Systems
A survey of security issue in multi-agent systems
Artificial Intelligence Review
Towards network-enabled cognition
NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
A framework to choose trust models for different e-marketplace environments
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The number of computational trust models has been increasing quickly in recent years yet their applications for automating trust evaluation are still limited. The main obstacle is the difficulties in selecting a suitable trust model and adapting it for particular trust modeling requirements, which varies greatly due to the subjectivity of human trust. The Personalized Trust Framework (PTF) presented in this paper aims to address this problem by providing a mechanism for human users to capture their trust evaluation process in order for it to be replicated by computers. In more details, a user can specify how he selects a trust model based on information about the subject whose trustworthiness he needs to evaluate and how that trust model is configured. This trust evaluation process is then automated by the PTF making use of the trust models flexibly plugged into the PTF by the user. By so doing, the PTF enable users reuse and personalize existing trust models to suit their requirements without having to reprogram those models.