View article

This paper discusses the challenges in detecting privacy revealing information using ontologies, natural language processing and machine learning techniques. It reviews current definitions, and sketches problem levels towards identifying the main open challenges. Furthermore, it elicits that the current notion of personally identifiable information lacks robustness to be used in varying contexts and user perceptions, and shows the need to additionally consider privacy sensitive information.