Expertise community detection

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Expertise community detection

Full text

Pdf (129 KB)

Source

Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Sheffield, United Kingdom

POSTER SESSION: Posters table of contents

Pages: 498 - 499

Year of Publication: 2004

ISBN:1-58113-881-4

Author

Raymond D'Amore

The MITRE Corporation, McLean, VA and University of Sheffield, Sheffield, UK

Sponsors

ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 10, Downloads (12 Months): 54, Citation Count: 2

Additional Information:

abstract references cited by index terms collaborative colleagues peer to peer

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1008992.1009089 What is a DOI?

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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Yimam, D., (1999). Expert Finding Systems for Organizations: Domain Analysis and the DEMOIR approach. ECSCW 99 Workshop: Beyond Knowledge Management: Managing Expertise.
	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
	3	Chi, M., Glaser, R., & Farr, M. (eds.) (1988). The Nature of Expertise. Lawrence Erlbaum Associates, Publishers.
	4	Granovetter, M. (1973). The Strength of Weak Ties. American Journal of Sociology 78 (May): 1360--1380.
	5	Jon M. Kleinberg, Authoritative sources in a hyperlinked environment, Journal of the ACM (JACM), v.46 n.5, p.604-632, Sept. 1999 [doi>10.1145/324133.324140]
	6	Mark Montague , Javed A. Aslam, Condorcet fusion for improved retrieval, Proceedings of the eleventh international conference on Information and knowledge management, November 04-09, 2002, McLean, Virginia, USA [doi>10.1145/584792.584881]
	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.
	8	McCune, B. and J. B. Grace. 2002. Analysis of Ecological Communities. MjM Software, Gleneden Beach, Oregon, USA

CITED BY 2

	Krisztian Balog , Leif Azzopardi , Maarten de Rijke, Formal models for expert finding in enterprise corpora, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, August 06-11, 2006, Seattle, Washington, USA
	Maggy Anastasia Suryanto , Ee Peng Lim , Aixin Sun , Roger H. L. Chiang, Quality-aware collaborative question answering: methods and evaluation, Proceedings of the Second ACM International Conference on Web Search and Data Mining, February 09-12, 2009, Barcelona, Spain

INDEX TERMS

Primary Classification:
H. Information Systems
H.4 INFORMATION SYSTEMS APPLICATIONS

General Terms:
Algorithms, Experimentation, Performance, Theory

Keywords:
distributed retrieval, expert finding, expertise model, fusion

Collaborative Colleagues:

Raymond D'Amore: colleagues

Peer to Peer - Readers of this Article have also read:

M⁴: a metamodel for data preprocessing Proceedings of the 4th ACM international workshop on Data warehousing and OLAP
Anca Vaduva , Jörg-Uwe Kietz , Regina Zücker
Data structures for quadtree approximation and compression Communications of the ACM 28, 9
Hanan Samet
A hierarchical single-key-lock access control using the Chinese remainder theorem Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing
Kim S. Lee , Huizhu Lu , D. D. Fisher
The GemStone object database management system Communications of the ACM 34, 10
Paul Butterworth , Allen Otis , Jacob Stein
Putting innovation to work: adoption strategies for multimedia communication systems Communications of the ACM 34, 12
Ellen Francik , Susan Ehrlich Rudman , Donna Cooper , Stephen Levine

Adobe Acrobat

QuickTime

Windows Media Player

Real Player