期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2012
卷号：4
期号：5
页码：213
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The dramatic increase of social networking sites forced web users to duplicate their identity on many ofthem. But, the lack of interoperability and linkage between these social networks allowed users’information to be disseminated within walled garden data islands. Achieving interoperability willcontribute to the creation of rich knowledge base that can be used for querying social networks anddiscovering some facts about social connections. This paper presents a new approach for linking semanticsocial networks (SSN). This approach is based on the Answer Set Programming (ASP) Paradigm and FuzzyLogic. An ASP-SNN reasoner is developed using the DLV answer set solver and tested on data setsexported from seven different semantic social networks. Fuzzy logic is used to assign a degree of truth toevery discovered link. The proposed approach is simple, generic and intuitive.
关键词：Semantic Web; Social Networks; Answer Set Programming; Fuzzy Logic; Ontologies
