Mining web data for competency management

J. Zhu, A.L. Goncalves, V.S. Uren, E. Motta, R. Pacheco

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

Abstract

We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and associates. We discuss the problems associated with evaluating unsupervised learners and report our initial evaluation experiments.
Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
EditorsAndrzej Skowron, Rakesh Agrawal, Michael Luck, Takahira Yamaguchi, Pierre Morizet-Mahoudeaux, Jiming Liu, Ning Zhong
Place of PublicationWashington, DC (US)
PublisherIEEE
Pages94-100
Number of pages7
ISBN (Print)0-7695-2415-X
DOIs
Publication statusPublished - 2005
Event2005 IEEE/WIC/ACM International Conference on Web Intelligence - Compiegne, France
Duration: 19 Sep 200522 Sep 2005

Conference

Conference2005 IEEE/WIC/ACM International Conference on Web Intelligence
Abbreviated titleWI'05
CountryFrance
CityCompiegne
Period19/09/0522/09/05

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Learning algorithms
Learning systems
Experiments

Cite this

Zhu, J., Goncalves, A. L., Uren, V. S., Motta, E., & Pacheco, R. (2005). Mining web data for competency management. In A. Skowron, R. Agrawal, M. Luck, T. Yamaguchi, P. Morizet-Mahoudeaux, J. Liu, & N. Zhong (Eds.), Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) (pp. 94-100). Washington, DC (US): IEEE. https://doi.org/10.1109/WI.2005.99
Zhu, J. ; Goncalves, A.L. ; Uren, V.S. ; Motta, E. ; Pacheco, R. / Mining web data for competency management. Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05). editor / Andrzej Skowron ; Rakesh Agrawal ; Michael Luck ; Takahira Yamaguchi ; Pierre Morizet-Mahoudeaux ; Jiming Liu ; Ning Zhong. Washington, DC (US) : IEEE, 2005. pp. 94-100
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abstract = "We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and associates. We discuss the problems associated with evaluating unsupervised learners and report our initial evaluation experiments.",
author = "J. Zhu and A.L. Goncalves and V.S. Uren and E. Motta and R. Pacheco",
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booktitle = "Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)",
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Zhu, J, Goncalves, AL, Uren, VS, Motta, E & Pacheco, R 2005, Mining web data for competency management. in A Skowron, R Agrawal, M Luck, T Yamaguchi, P Morizet-Mahoudeaux, J Liu & N Zhong (eds), Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05). IEEE, Washington, DC (US), pp. 94-100, 2005 IEEE/WIC/ACM International Conference on Web Intelligence, Compiegne, France, 19/09/05. https://doi.org/10.1109/WI.2005.99

Mining web data for competency management. / Zhu, J.; Goncalves, A.L.; Uren, V.S.; Motta, E.; Pacheco, R.

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05). ed. / Andrzej Skowron; Rakesh Agrawal; Michael Luck; Takahira Yamaguchi; Pierre Morizet-Mahoudeaux; Jiming Liu; Ning Zhong. Washington, DC (US) : IEEE, 2005. p. 94-100.

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

TY - GEN

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AU - Motta, E.

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AB - We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and associates. We discuss the problems associated with evaluating unsupervised learners and report our initial evaluation experiments.

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BT - Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)

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A2 - Yamaguchi, Takahira

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PB - IEEE

CY - Washington, DC (US)

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Zhu J, Goncalves AL, Uren VS, Motta E, Pacheco R. Mining web data for competency management. In Skowron A, Agrawal R, Luck M, Yamaguchi T, Morizet-Mahoudeaux P, Liu J, Zhong N, editors, Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05). Washington, DC (US): IEEE. 2005. p. 94-100 https://doi.org/10.1109/WI.2005.99