In recent years, Web users have seen an exponential growth in the amount of data being generated and exchanged in form of blogs, tweets, social networking applications etc., to name just a few. One of the popular features in these systems is the feature to link one stream of data to another, enabling the dissemination of data to a large audience within a short time span. While users feel empowered to reach thousands in a short time frame, it however leaves very little room for misjudgement and error; such systems provide users little or no prior visibility on the privacy implications of their actions. In this respect, Semantic technologies have emerged as a potential candidate for building privacy enhancing solutions for the online Web users.
The workshop aims to be a highly enriching and interactive forum for researchers exploring the emergence of privacy threats and issues surrounding the use of Semantic Web Technologies and the development and evaluation of privacy enhancing technologies which make use of Semantic Web technologies to support online privacy of Web users.
We welcome high-quality papers about recent advancements in (a) how privacy is being supported in the Web of Data, especially through semantic technologies and (b) how Semantic Web principles are being applied in the context of privacy protection of Web users or end-users of software systems in general. We seek application-oriented, as well as more theoretical papers and position papers in the following, non-exhaustive list of to