Modeling and Reasoning Upon Facebook Privacy Settings

Presented at: The 12th International Semantic Web Conference (ISWC2013)

by Mathieu D'Aquin, Keerthi Thomas

Understanding the way information is propagated and made visible on Facebook is a difficult task. The privacy settings and the rules that apply to individual items are reasonably straightforward. However, for the user to track all of the information that needs to be integrated and the inferences that can be made on their posts is complex, to the extent that it is almost impossible for any individual to achieve. In this demonstration, we investigate the use of knowledge modeling and reasoning techniques (including basic ontological representation, rules and epistemic logics) to make these inferences explicit to the user.


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2013/poster-demo-proceedings/paper-54


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