Over the last few years, online social networks have become part of society, affecting the way people interact, and share and spread ideas. Their large and still increasing popularity led to the emergence of multiple huge social datasets. Although a vast set of social network analysis methods and algorithms have already been proposed and scrutinized by the research community, most of them aren’t prepared for a direct application over the rich and heterogeneous information contained in the online social network datasets. With the emergence of the Semantic Web, the up until now closed datasets are evolving to become one semantically enriched and distributed social dataset shared by all online social network applications. In such an environment, new methods and tools that fill the gap between the new social and semantic web technologies, and well established and accepted social network analysis methods are required. In that sense, the main goal of this thesis work, as part of the Toursplan project, is to adapt the current Toursplan platform so it fits into the Social and Semantic Web environments, while also providing mechanisms to perform social network analysis over the Toursplan semantically enriched social dataset.