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XPERTFINDER - News Analysis for Subject Field Related Expert Finding in Organisations and Networks

XPERTFINDER - Nachrichtenanalyse zur themefeldbezogenen Expertensuche
: Sihn, W.; Heeren, F.

Hamza, M.H. ; International Association of Science and Technology for Development -IASTED-:
Artificial Intelligence and Soft Computing. Proceedings of the IASTED International Conference : Cancun, Mexico, May 21-24, 2001
Anaheim: IASTED/ACTA Press, 2001
ISBN: 0-88986-283-4
pp.42-48, Anhang
International Conference Artificial Intelligence and Soft Computing <2001, Cancun>
Conference Paper
Fraunhofer IPA ()
electronic mail; shared memory; expert finding; expertise location; computer supported collaborative work

Today, a firm's employees embody a significant source of knowledge, not only by documenting knowledge, but also by assisting other colleagues with problem solving. Due to decentralising or business networking aiming at cooperation among companies, the transparency within an enterprise as to which employees are experts in which field diminishes. The purpose of IT-systems for expert finding is to endow employees with easy access to experts in certain subject areas. This paper illustrates the Xpertfinder method developed at the Fraunhofer IPA that analysis explicit knowledge forms such as E-Mail- or Newsgroup messages of logged-in users for the preparation of expert profiles. Contrary to common systems Xpertfinder only uses those parts of a message entirely created by the sender and offers the possibility for expert search within ventures. Through convention of co-operational thematic fields it is possible to define the areas for company-transcending expert search. With the aid of Bayesian Belief Networks analysis results are combined to evocative expert characteristics for anonymous display. Measures for the protection of personal data as well as future research areas are addressed.