ASP-SSN: An Effective Approach for Linking Semantic Social Networks

The dramatic increase of social networking sites forced web users to duplicate their identity on many of them. But, the lack of interoperability and linkage between these social networks allowed users' information to be disseminated within walled garden data islands. Achieving interoperability will contribute to the creation of rich knowledge base that can be used for querying social networks and discovering some facts about social connections. This paper presents a new approach for linking semantic social networks (SSN). This approach is based on the Answer Set Programming (ASP) Paradigm and Fuzzy Logic. An ASP-SNN reasoner is developed using the DLV answer set solver and tested on data sets exported from seven different semantic social networks. Fuzzy logic is used to assign a degree of truth to every discovered link. The proposed approach is simple, generic and intuitive.