Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Debugging and repair of owl ontologies
Debugging and repair of owl ontologies
The Description Logic Handbook
The Description Logic Handbook
Tractable Reasoning with Bayesian Description Logics
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
SUNNY: a new algorithm for trust inference in social networks using probabilistic confidence models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Scalable highly expressive reasoner (SHER)
Web Semantics: Science, Services and Agents on the World Wide Web
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Decision makers (humans or software agents alike) are faced with the challenge of examining large volumes of information originating from heterogeneous sources with the goal of ascertaining trust in various pieces of information. In this paper we argue (using examples) that traditional trust models are limited in their data model by assuming a pair-wise numeric rating between two entities (e.g., eBay recommendations, Netflix movie rating, etc). We present a novel trust computational model for rich, complex and uncertain information encoded using Bayesian Description Logics. We present security and scalability tradeoffs that arise in the new model, and the results of an evaluation of the first prototype implementation under a variety attack scenarios.