It is well known that Social Web is „growing” bigger and bigger and more diverse. An important issue relative to the huge amount of information user generated content is that knowledge coming from different communities of users in social media cannot be linked or shared because user generated content, in general, doesn’t have machine interpretable metadata that can be “understood” by computers. The connection can be done assigning meaning to web content with the help of the Semantic Web standards. The paper presents a study about role and uses of Semantic Web technologies within the framework of social media. A case study about the effective use of these technologies in a web application that lists the posts introduced by users, which can be found in different social sites is provided. The application was meant for usage within the Romanian research team.