The popularity of Social Networking Sites (SNSs) has revolutionized human interaction. Social Networking Sites are meant for people to have a social connection with other people with similar interests. A social networking site creates network communication among the user community. It stores user information which can be used for reaching people of similar interest. Though social networking site serves for communication purposes among special interest groups, they do not have a searching option where we can search people or group with certain features. A person can be searched only if we know the name of the person. Here we present a method using Semantic Web to represent and process social network information so that user queries can be better answered. This paper addresses some of the current limitations of accessing social network data and the semantic approach to overcome those limitations.