Data mining technique for expertise search in a special interest group knowledge portal

The Internet contributes to the development of electronic community (e-community) portals. Such portals become an indispensable platform for members especially for a Special Interest Groups (SIG) to share knowledge and expertise in their respective fields. Finding expertise over the e-community portal will help interested people and researchers to identify other experts, working in the same area. However, it is quite a cumbersome task to search such expertise in the portal. In order to find an expert, expertise data mining could be a solution to ease the search of experts. Performing effective data mining technique will help to analyze and measure expertise level accurately in a SIG portal. This paper proposes a method called Expertise Data Mining (EDM) that comprises a few techniques for expertise search in a SIG portal. It expects to improve the finding of experts among the members of a SIG e-community.