Social networks are simple graphs where nodes represent either the people or the groups and links represent their relationships. Social networks explicitly exhibit relationships among individuals and groups. It is used for trust calculation, information sharing and recommendation, ontology construction and relation and relevance detection. Semantic Web is not a separate web but it is an extension of the current web in which information has well-defined meaning enabling computers and people to work better with cooperation. Semantic web (SW) has proven to be a useful data integration tool, facilitating the meaningful exchange of heterogeneous data. Ontology is a tool for data integration. Social Tagging Systems (STSs) allow collaborative users to share and annotate many types of resources (webpages, songs, etc.) with descriptive and semantically meaningful information called tags. Our proposed system constructs social network among individuals based on users’ interest predicted from their tag usage in the Social Tagging System using semantic web.

Social Tagging System (STS), Social Network (SN), Semantic Web (SW), Randomized Singular Value Decomposition (RSVD), Recommendation, User interest

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