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: The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 19-22 Sep 2005, Compiegne University of Technology, France.

Full text available as:

Preview

PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (110Kb)

Google Scholar:	Look up in Google Scholar

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.

Item Type:	Conference Item
Academic Unit/Department:	Knowledge Media Institute Arts > English
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC)
Item ID:	2966
Depositing User:	Users 12 not found.
Date Deposited:	22 Jun 2006
Last Modified:	05 Dec 2010 06:14
URI:	http://oro.open.ac.uk/id/eprint/2966

Actions (login may be required)

	View Item
RDF+XMLBibTeXRDF+N-TriplesJSONDublin CoreAtomOAI-ORE Resource Map (Atom Format)Simple MetadataReferMETSOAI-ORE Resource Map (RDF Format)HTML CitationASCII CitationMultiline CSVRefMan RIS Format (UTF-8)OpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLRefMan RIS FormatRDF+N3Eprints Application Profile	Public: Report issue / request change