Expert-Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach

Computer systems that augment the process of finding, in an organization or worldwide, the appropriate expert for a given problem are becoming more feasible than ever as a result of the prevalence of corporate intranets and the Internet. In this article, we investigate such systems in 2 parts. First...

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Bibliographic Details
Published in:Journal of organizational computing and electronic commerce 2003-03, Vol.13 (1), p.1-24
Main Authors: Yimam-Seid, Dawit, Kobsa, Alfred
Format: Article
Language:English
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Summary:Computer systems that augment the process of finding, in an organization or worldwide, the appropriate expert for a given problem are becoming more feasible than ever as a result of the prevalence of corporate intranets and the Internet. In this article, we investigate such systems in 2 parts. First, we explore the expert-finding problem in depth, review and analyze existing systems in this domain, and suggest a domain model that can serve as a framework for design and development decisions. Second, on the basis of our analyses of the problem and solution spaces, we bring to light the gaps that remain to be addressed. Finally, after this two-part investigation, we present our approach, called DEMOIR (dynamic expertise modeling from organizational information resources), which is a modular architecture for expert-finding systems that is based on a centralized expertise-modeling server but also incorporates decentralized components for expertise information gathering and exploitation.
ISSN:1091-9392
1532-7744
DOI:10.1207/S15327744JOCE1301_1