Semantic Web Technologies for Social Translucence and Privacy Mirrors on the Web.

While the open, collaborative and distributed nature of the Web makes it an effective social platform, it also makes it difficult to implement appropriate privacy management features. In this paper, we discuss the notions of social translucence and privacy mirrors, originally defined to be used as guiding principles for the design of (ubiquitous) systems implementing some form of social processes, and how such principles apply to privacy management for online interactions. The focus of the paper is therefore on the technological challenges that are raised in trying to implement these principles (visibility, awareness, accountability) in an open Web context. We show through several examples of such implementations how the issues of data integration, data processing and the need for inference that are raised by such approaches provide an interesting use of semantic technologies, for individual monitoring and sense-making of personal information on the Web.