Discovering areas of expertise from publication data

Meredith Taylor*, Debbie Richards

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationKnowledge Acquisition: Approaches, Algorithms and Applications - Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Revised Selected Papers
EditorsDebbie Richards, Byeong-ho Kang
Place of PublicationBerlin
Pages218-230
Number of pages13
Volume5465 LNAI
DOIs
Publication statusPublished - 2009
EventPacific Rim Knowledge Acquisition Workshop, PKAW 2008 - Hanoi, Viet Nam
Duration: 15 Dec 200816 Dec 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5465 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherPacific Rim Knowledge Acquisition Workshop, PKAW 2008
CountryViet Nam
CityHanoi
Period15/12/0816/12/08

Keywords

  • Expertise recommender system
  • Knowledge acquisition
  • Knowledge validation

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