Now showing items 2-3 of 3

  • LRD: latent relation discovery for vector space expansion and information retrieval. 

    Goncalves, Alexandre L.; Zhu, Jianhan; Song, Dawei; Uren, Victoria; Pacheco, Roberto (Springer http://dx.doi.org/10.1007/11775300_11, 2006)
    GONCALVES, A., ZHU, J., SONG, D., UREN, V. and PACHECO, R., 2006. LRD: latent relation discovery for vector space expansion and information retrieval. In: J. YU, M. KITSUREGAWA and H. LEONG, eds. Advances in Web-Age Information Management: 7th International Conference, WAIM 2006, Hong Kong, China, June 17-19, 2006; Proceedings. Berlin: Springer. pp. 122-133.
    In this paper, we propose a text mining method called LRD (latent relation discovery), which extends the traditional vector space model of docu-ment representation in order to improve information retrieval (IR) on docu-ments ...
  • Relation discovery from web data for competency management. 

    Zhu, Jianhan; Goncalves, Alexandre L.; Uren, Victoria; Motta, Enrico; Pacheco, Roberto; Eisenstadt, Marc; Song, Dawei (IOS Press, 2007-12)
    ZHU, J., GONCALVES, A. L., UREN, V. S., MOTTA, E., PACHECO, R., EISENSTADT, M. and SONG, D., 2007. Relation discovery from web data for competency management. Web Intelligence and Agent Systems, 5 (4), pp. 405-417.
    In current organizations, valuable enterprise knowledge is often buried under rapidly expanding huge amount of unstructured information in the form of web pages, blogs, and other forms of human text communications. ...