Article

Expertise community detection

Author:

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 498 - 499

https://doi.org/10.1145/1008992.1009089

Published: 25 July 2004 Publication History

Get Access

Abstract

Providing knowledge workers with access to experts and communities-of-practice is central to sharing expertise and crucial to organizational performance, adaptation, and even survival. This paper covers ongoing research to develop an Expert Locator prototype, a model-based system for detecting experts and broader communities-of-practice. The underlying expertise model is extensible and supports aggregation of evidence across diverse sources. The prototype is being used to locate critical expertise in key project areas, and current evaluation indicates its potential effectiveness.

References

[1]

Yimam, D., (1999). Expert Finding Systems for Organizations: Domain Analysis and the DEMOIR approach. ECSCW 99 Workshop: Beyond Knowledge Management: Managing Expertise.

Google Scholar

[2]

Maybury, M., D'Amore, R. and House, D. (2002). Automated Discovery and Mapping of Expertise. In Ackerman, M., Pipek, V. and Wulf, V. (eds.). Sharing Expertise: Beyond Knowledge Management, Cambridge: MIT Press

Google Scholar

[3]

Chi, M., Glaser, R., & Farr, M. (eds.) (1988). The Nature of Expertise. Lawrence Erlbaum Associates, Publishers.

Google Scholar

[4]

Granovetter, M. (1973). The Strength of Weak Ties. American Journal of Sociology 78 (May): 1360--1380.

Crossref

Google Scholar

[5]

Kleinberg, J., (1998) Authoritative Sources in a Hyperlinked Environment, Journal of the ACM, Vol. 46, No. 5, September 1999, pp. 604--632.

Digital Library

Google Scholar

[6]

Montague, M. and Aslam, J. (2002) Condorcet fusion for improved retrieval. In Proc. 11th CIKM, pages 538--548.

Digital Library

Google Scholar

[7]

Fox, E. A., Koushik, M. P. Shaw, J., Modlin, R., and Rao, D. Combining evidence from multiple searches. In D. Harman, editor, The First Text Retrieval Conference (TREC-1),p ages 319--328, Gaithersburg, MD, USA, Mar. 1993. U.S. Government Printing Office, Washington D.C.

Google Scholar

[8]

McCune, B. and J. B. Grace. 2002. Analysis of Ecological Communities. MjM Software, Gleneden Beach, Oregon, USA

Google Scholar

Cited By

View all

Li JLai SShuai ZTan YJia YYu MSong ZPeng XXu ZNi YQiu HYang JLiu YLu Y(2024)A comprehensive review of community detection in graphsNeurocomputing10.1016/j.neucom.2024.128169600(128169)Online publication date: Oct-2024
https://doi.org/10.1016/j.neucom.2024.128169
Askari AAliannejadi MAbolghasemi AKanoulas EVerberne SFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long ContextsProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614812(25-35)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3614812
Lin SHong WWang DLi T(2017)A survey on expert finding techniquesJournal of Intelligent Information Systems10.1007/s10844-016-0440-549:2(255-279)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s10844-016-0440-5
Show More Cited By

Index Terms

Expertise community detection
1. Information systems
  1. Information systems applications

Recommendations

Expertise transfer and complex problems
Special issue: 1969-1999, the 30th anniversary

Acquiring knowledge from a human expert is a major problem when building a knowledge-based system. Aquinas, an expanded version of the Expertise Transfer System (ETS), is a knowledge-acquisition workbench that combines ideas from psychology and ...
Harnessing global expertise: A comparative study of expertise profiling methods for online communities

Building expertise profiles in global online communities is a critical step in leveraging the range of expertise available in the global knowledge economy. In this paper we introduce a three-stage framework that automatically generates expertise ...
Deep expertise and interest personalized transformer for expert finding
Abstract
Most existing expert finding methods in Community Question Answering (CQA) websites typically determine an expert’s suitability for answering one question based on their past answered questions. However, experts’ interests evolve over time, and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

July 2004

624 pages

ISBN:1581138814

DOI:10.1145/1008992

General Chair:
Mark Sanderson
University of Sheffield (UK)
,
Program Chairs:
Kalervo Järvelin
University of Tampere (Finland)
,
James Allan
University of Massachusetts (USA)
,
Peter Bruza
Distributed Systems Technology Centre (Australia)

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 July 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

SIGIR04

Sponsor:

SIGIR04: The 27th ACM/SIGIR International Symposium on Information Retrieval 2004

July 25 - 29, 2004

Sheffield, United Kingdom

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
779
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)1

Reflects downloads up to 20 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Li JLai SShuai ZTan YJia YYu MSong ZPeng XXu ZNi YQiu HYang JLiu YLu Y(2024)A comprehensive review of community detection in graphsNeurocomputing10.1016/j.neucom.2024.128169600(128169)Online publication date: Oct-2024
https://doi.org/10.1016/j.neucom.2024.128169
Askari AAliannejadi MAbolghasemi AKanoulas EVerberne SFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long ContextsProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614812(25-35)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3614812
Lin SHong WWang DLi T(2017)A survey on expert finding techniquesJournal of Intelligent Information Systems10.1007/s10844-016-0440-549:2(255-279)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s10844-016-0440-5
Boeva VBoneva LTsiporkova E(2014)Semantic-Aware Expert PartitioningArtificial Intelligence: Methodology, Systems, and Applications10.1007/978-3-319-10554-3_2(13-24)Online publication date: 2014
https://doi.org/10.1007/978-3-319-10554-3_2
Liu SWang SKrishnan R(2014)Persistent Community Detection in Dynamic Social NetworksAdvances in Knowledge Discovery and Data Mining10.1007/978-3-319-06608-0_7(78-89)Online publication date: 2014
https://doi.org/10.1007/978-3-319-06608-0_7
Cohen SEbel LSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)Recommending collaborators using keywordsProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2488091(959-962)Online publication date: 13-May-2013
https://dl.acm.org/doi/10.1145/2487788.2488091
Wang GJiao JAbrahams AFan WZhang Z(2013)ExpertRankDecision Support Systems10.1016/j.dss.2012.12.02054:3(1442-1451)Online publication date: 1-Feb-2013
https://dl.acm.org/doi/10.1016/j.dss.2012.12.020
Choudhury MSundaram HJohn ASeligmann D(2010)Extraction, characterization and utility of prototypical communication groups in the blogosphereACM Transactions on Information Systems10.1145/1877766.187777229:1(1-53)Online publication date: 27-Dec-2010
https://dl.acm.org/doi/10.1145/1877766.1877772
Suryanto MLim ESun AChiang R(2009)Quality-aware collaborative question answeringProceedings of the Second ACM International Conference on Web Search and Data Mining10.1145/1498759.1498820(142-151)Online publication date: 9-Feb-2009
https://dl.acm.org/doi/10.1145/1498759.1498820
Jiao JYan JZhao HFan W(2009)ExpertRankProceedings of the 2009 International Conference on New Trends in Information and Service Science10.1109/NISS.2009.75(674-679)Online publication date: 30-Jun-2009
https://dl.acm.org/doi/10.1109/NISS.2009.75
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Expertise transfer and complex problems

Harnessing global expertise: A comparative study of expertise profiling methods for online communities

Deep expertise and interest personalized transformer for expert finding