Relating Personally Relevant Social Information from Heterogeneous Sources

Proliferation of online social applications and pla tforms has generated enormous amounts of information that coul d be helpful to the users. However, this information is sparse and hard to integrate. We present a framework that inte r-relates information from different online sources and, with the help of a user’s personal information, is able to provid e useful and relevant information from his perspective, in a iterative information seeking process. Information retrieved from the users' devices, due to its personal and tr ustable character, works as a filter to information retriev ed from other less trustable and structured sources. We def ined a single structure to inter-relate the information as a coherent whole, instead of separate chunks. To evaluate our approach, we present an application that obtains re levant information about people. The results, analyzed tog ether with the users, suggested that it is possible to ob tain relevant and inter-related information about someon e, resorting both to personal and public information. Author