Semantic Web Policies for Security, Trust Management and Privacy in Social Networks

نویسندگان

  • Juri L. De Coi
  • Philipp Kärger
  • Daniel Olmedilla
  • Sergej Zerr
چکیده

The ability of defining privacy preferences in the current social platforms is very restricted. Typically, the user is provided with only some predefined options to select from. Semantic Web policies can be exploited in order to allow users to control privacy in social web applications. Such policies are generally considered statements that define the behavior of a system. However, although Semantic Web policies gained a lot of interest in recent years and policy languages became more and more complex, suitable and easy-to-use solutions for highly dynamic social platforms are still needed. This paper presents a Semantic Web policy framework that not only allows for a fine-grained policy language and access and privacy control, but which also addresses its easy specification by noncomputer experts and which explains both the policies and the decisions made when reasoning over them.

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تاریخ انتشار 2009