Discovering Areas of Expertise from Publication Data

Authors:
Meredith Taylor;Debbie Richards
Affiliations:
Computing Department, Maquarie University, North Ryde, Australia 2109;Computing Department, Maquarie University, North Ryde, Australia 2109
Venue:
Knowledge Acquisition: Approaches, Algorithms and Applications
Year:
2009

Citing 10
Cited 1

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The ContactFinder agent: answering bulletin board questions with referrals

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1

Detection of CAN by ensemble classifiers based on ripple down rules

PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems

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Abstract

Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what areas within an organization. The key problem is acquiring validated knowledge of expertise and keeping that information up to date. In research organizations, publications are one source of evidence of expertise which can be used to identify who knows about what. In this paper we focus on evaluating the feasibility of a simple technique for uncovering expertise used as the foundation and starting point of maintaining a profile of validated expertise within an organization.