A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An ontology of trust: formal semantics and transitivity
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Representing Context for Multiagent Trust Modeling
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Trust transferability among similar contexts
Proceedings of the 4th ACM symposium on QoS and security for wireless and mobile networks
Cross-Situation Trust Reasoning
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Behavior analysis through reputation propagation in a multi-context environment
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Trust management model and architecture for context-aware service platforms
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
Trust estimation using contextual fitness
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
A situation-aware computational trust model for selecting partners
Transactions on computational collective intelligence V
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We present a knowledge-intensive and model-based case-based reasoning framework that supports the truster for situation-aware trust management. The suggested method augments the typically sparse trust information by inferring the missing information from other situational conditions, and can better support situation-aware trust management. Our framework can be coupled with existing trust management models to make them situation-aware. It uses the underlying model of trust management to transfer trust information between situations. We validate the proposed framework for Subjective Logic trust management model and evaluate it by conducting experiments on a large real dataset.