Inferring Trust in Uncertain Information

Download Now Date Added: Aug 2010
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Decision makers (humans or a 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 have traditionally focused on simple models for review and rating systems, the authors introduce a new trust model for rich, complex and uncertain information encoded using Bayesian Description Logics. They present the challenges raised by the new model, and the results of an evaluation of the first prototype implementation under a variety of scenarios.