Mining web data for competency management

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.

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.

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