Assessing Trust in Uncertain Information

摘要

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 the results of an evaluation of the first prototype implementation under a variety of scenarios.