Mining web data for competency management
http://data.open.ac.uk/oro/2966
is a Article , Academic article

Outgoing links

Property Object
Creator
Dataset Open Research Online
Publisher IEEE Computer Society
At The 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Date 2005-09
Is part of repository
Status Peer reviewed
URI
  • http://data.open.ac.uk/oro/document/12127
  • http://data.open.ac.uk/oro/document/12545
  • http://data.open.ac.uk/oro/document/241
  • http://data.open.ac.uk/oro/document/7201
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.
Authors authors
Editors editors
Type
Label Zhu, J. ; Goncalves, A.L.; Uren, V.S. ; Motta, E. and Pacheco, R. (2005). Mining web data for competency management. In: Proceedings of 2005 IEEE/WIC/ACM International Conference on Web Intelligence 2005 (WI'2005) (Zhong, Andrzej Skowron, Rakesh Agrawal, Michael Luck, Takahira Yamaguch ed.), IEEE Computer Society, Compiegne University of Technology, France, pp. 94–100.
Title Mining web data for competency management