Now showing items 1-7 of 7

  • DYNIQX: a novel meta-search engine for the Web. 

    Zhu, Jianhan; Song, Dawei; Eisenstadt, Marc; Barladeanu, Cristi; Ruger, Stefan (International Journal of Information Studies (IJIS) http://www.istudies.net/ojs/index.php/journal/article/view/25/25, 2009)
    ZHU, J., SONG, D., EISENSTADT, M., BARLADEANU, C. and RUGER, S., 2009. DYNIQX: a novel meta-search engine for the Web. International Journal of Information Studies, 1 (1), pp. 2-27.
    The effect of metadata in collection fusion has not been sufficiently studied. In response to this, we present a novel meta-search engine called Dyniqx for metadata based search. Dyniqx integrates search results from search ...
  • Exploiting semantic association to answer ‘vague queries’. 

    Zhu, Jianhan; Eisenstadt, Marc; Song, Dawei; Denham, Chris (IOS Press, 2006)
    ZHU, J., EISENSTADT, M., SONG, D. and DENHAM, C. 2006. Exploiting semantic association to answer ‘vague queries’. In: Y. LI, M. LOOI and N. ZHONG, eds. Advances in Intelligent IT – Active Media Technology 2006: Volume 138 (Frontiers in Artificial Intelligence and Applications). Fairfax, VA: IOS Press. pp. 73-78
    Although today’s web search engines are very powerful, they still fail to provide intuitively relevant results for many types of queries, especially ones that are vaguely-formed in the user’s own mind. We argue that ...
  • Integrating multiple windows and document features for expert finding. 

    Zhu, Jianhan; Song, Dawei; Ruger, Stefan (Wiley http://dx.doi.org/10.1002/asi.21012, 2009-04)
    ZHU, J, SONG, D. and RUGER, S., 2009. Integrating multiple windows and document features for expert finding. Journal of the American Society for Information Science and Technology, 60 (4), pp. 694-715.
    Expert finding is a key task in enterprise search and has recently attracted lots of attention from both research and industry communities. Given a search topic, a prominent existing approach is to apply some information ...
  • 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 ...
  • A novel metadata based meta-search engine. 

    Zhu, Jianhan; Song, Dawei; Eisenstadt, Marc; Barladeanu, Cristi (IEEE, 2008)
    ZHU, J., SONG, D., EISENSTADT, M. and BARLADEANU, C., 2008. A novel metadata based meta-search engine. In: Proceedings of the 3rd International Conference on Software and Data Technologies (ICSOFT 2008). July 2008.
    We present a novel meta-search engine called DYNIQX for metadata based cross search in order to study the effect of metadata in collection fusion. DYNIQX exploits the availability of metadata in academic search services ...
  • The Open University at TREC 2007 enterprise track expert search task. 

    Zhu, Jianhan; Song, Dawei; Ruger, Stefan (NIST http://trec.nist.gov/pubs/trec16/papers/openu.ent.final.pdf, 2008-02)
    ZHU, J., SONG, D. and RUGER, S., 2008. The Open University at TREC 2007 enterprise track expert search task. In: E. M. VOORHEES and L. P. BUCKLAND, eds. NIST Special Publication 500-274: The Sixteenth Text REtrieval Conference Proceedings (TREC 2007). 5-9 November 2007. Gaithersburg, MD: NIST.
    The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search and Document Search tasks of the Enterprise Track in TREC 2007. In both the document and ...
  • 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. ...