• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2183142