Trust Inference and Query Answering over Uncertain Information

On the Semantic Web, 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. While previous work has focused on simple models for review and rating systems, we introduce a new trust model for rich, complex and uncertain information. We present the challenges raised by the new model, and solutions to support scalable trust-based query answering over uncertain information. An evaluation of the first prototype implementation under a variety of scenarios shows the robustness of our trust model, and the scalability of trust-based query answering over uncertain information.

By: Achille Fokoue-Nkoutche; Mudhakar Srivatsa; Robert Young

Published in: RC25157 in 2011


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