The accelerating progress in science with the active role of the communication media – mainly the web – make person in front of a difficult task, in finding appropriate information during a brief time. In a narrower context, many researches were created in the expertise retrieval domain, as an interesting and complicated task for the scientific community, in face of this huge amount of data scattered across the web. Benefiting from the semantic web technologies and the efforts of data structuring, in this paper we propose a novel approach of correlation based profile building, by exploiting heterogynous web sources. The aim is to generate comprehensive and validated profiles about researchers and experts in the computer science domain.