DocumentCode :
2183142
Title :
Mining Web data for competency management
Author :
Zhu, J. ; Gonçalves, A.L. ; Uren, V.S. ; Motta, E. ; Pacheco, R.
Author_Institution :
Knowledge Media Inst., Open Univ., Milton Keynes, UK
fYear :
2005
fDate :
19-22 Sept. 2005
Firstpage :
94
Lastpage :
100
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.
Keywords :
Internet; data mining; human resource management; unsupervised learning; CORDER; Web data mining; community relation discovery; competency management; named entity recognition; unsupervised machine learning; Assembly; Collaborative work; Data mining; Databases; Employee rights; Knowledge management; Machine learning algorithms; Resource management; Taxonomy; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2415-X
Type :
conf
DOI :
10.1109/WI.2005.99
Filename :
1517824
Link To Document :
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