A third-party trading platform is a web based system that provides services for sellers and buyers. On such platform, users are required to provide personal information to ensure the authenticity and undeniability of a transaction. In this paper, we propose an ontology based privacy protection model for third-party platform, which allows buyers and sellers to define privacy policies according to their preferences and converts policies into ontology based forms. We introduce the property of good sellers who require the minimal information from buyers while satisfying other trading requirements. The proposed policy matching algorithm finds such sellers as candidates for a buyer request. A practical example is given to illustrate our model.
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