Now showing items 35-49 of 49

  • A latent variable model for query expansion using the hidden Markov model. 

    Huang, Qiang; Song, Dawei (ACM http://doi.acm.org/10.1145/1458082.1458310, 2008-10)
    HUANG, Q. and SONG, D. 2008. A latent variable model for query expansion using the hidden Markov model. In: J. G. SHANAHAN, S. AMER-YAHIA, I. MANOLESCU, Y. ZHANG, D. A. EVANS, A. KOLCZ, K.-S. CHOI and A. CHOWDURY, eds. Proceedings of the ACM 17th Conference on Information and Knowledge Management. 26-30 October 2008. New York: ACM. pp. 1417-1418
    We propose a novel probabilistic method based on the Hid- den Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed LVM, the combinations of query terms ...
  • Learning and optimization of an aspect hidden Markov model for query language model generation. 

    Huang, Qiang; Song, Dawei; Roger, Stefan; Bruza, Peter D. (Infota (Foundation for Information Society, Budapest), 2007-10)
    HUANG, Q., SONG, D., RUGER, S. and BRUZA, P. D., 2007. Learning and optimization of an aspect hidden Markov model for query language model generation. In: S. DOMINICH and F. KISS, eds. Proceedings of the 1st International Conference on the Theory of Information Retrieval (ICTIR 2007). 18-20 October 2007. Budapest, Hungary: Infota. Pp. 157-164.
    The Relevance Model (RM) incorporates pseudo relevance feedback to derive query language model and has shown a good performance. Generally, it is based on uni-gram models of individual feedback documents from which query ...
  • Looking for genre: the use of structural features during search tasks with Wikipedia. 

    Clark, Malcolm John; Ruthven, Ian; Holt, Patrik; Song, Dawei (ACM. http://dx.doi.org/10.1145/2362724.2362751, 2012-08)
    CLARK, M., RUTHVEN, I., HOLT, P. O’B. and SONG, D., 2012. Looking for genre: the use of structural features during search tasks with Wikipedia. In: Proceedings of the 4th Information Interaction in Context Symposium. 21-24 August 2012. New York: ACM. Pp. 145-154.
    This paper reports on our task-based observational, logged, questionnaire study and analysis of ocular behavior pertaining to the interaction of structural features of text in Wikipedia using eye tracking. We set natural ...
  • 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 ...
  • Policy conformance in the corporate blog space. 

    McArthur, Robert; Bruza, Peter D.; Song, Dawei (PM4W http://www.cs.umbc.edu/pm4w/proceedings.pdf, 2005-05)
    MCARTHUR, R., BRUZA, P. D. and SONG, D., 2005. Policy conformance in the corporate blog space. In: L. KAGAL, T. FININ and J. HENDLER, eds. Policy Management for the Web : a workshop held at the 14th International World Wide Conference, Tuesday 10 May 2005, Chiba, Japan. pp. 21-28.
    This paper describes part of a solution to the interpretation of human-readable policy documents into semi-automatic conformance checking. Using a socio-cognitively motivated representation of shared knowledge, and applying ...
  • Query expansion using term relationships in language models for information retrieval. 

    Bai, Jing; Song, Dawei; Bruza, Peter D.; Nie, Jian-Yun; Cao, Guihong (ACM Press http://doi.acm.org/10.1145/1099554.1099725, 2005-11)
    BAI, J., SONG, D., BRUZA, P. D., NIE, J. Y. and CAO, G., 2005. Query expansion using term relationships in language models for information retrieval. In: A. CHOWDHURY, N. FUHR, M. RONTHALER, H.-J. SCHEK and W. TEIKEN, eds. Proceedings of the 14th ACM International Conference on Information and Knowledge Management. 31 October – 5 November 2005. New York : ACM Press. pp. 688-695.
    Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries and document collections. In traditional ...
  • 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. ...
  • Robust query-specific pseudo feedback document selection for query expansion. 

    Huang, Qiang; Song, Dawei; Ruger, Stefan (Springer http://dx.doi.org/10.1007/978-3-540-78646-7_54, 2008)
    HUANG, Q., SONG, D. and RUGER, S., 2008. Robust query-specific pseudo feedback document selection for query expansion. In: C. MACDONALD, I. OUNIS, V. PLACHOURAS, I. RUTHVEN and R.W. WHITE, eds. Advances in Information Retrieval: 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008; Proceedings. Berlin: Springer. pp. 547- 554
    In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. However, very little at- tention has ...
  • Towards a belief-revision-based adaptive and context-sensitive information retrieval system. 

    Lau, Raymond Y. K.; Bruza, Peter D.; Song, Dawei (ACM http://doi.acm.org/10.1145/1344411.1344414, 2008-03)
    LAU, R. Y. K., BRUZA, P. and SONG, D., 2008. Towards a belief-revision-based adaptive and context-sensitive information retrieval system. ACM Transactions on Information Systems, 26 (2), article 8.
    In an adaptive information retrieval (IR) setting, the information seekers' beliefs about which terms are relevant, or non-relevant, will naturally fluctuate. This article investigates how the theory of belief revision ...
  • Towards a fuzzy domain ontology extraction method for adaptive e-learning. 

    Lau, Raymond Y. K.; Song, Dawei; Li, Yuefeng; Cheung, Terence; Hao, Jin-Xing (IEEE http://doi.ieeecomputersociety.org/10.1109/TKDE.2008.137, 2009-06)
    LAU, R., SONG, D., LI, Y., CHEUNG, T. and HAO, J., 2009. Towards a fuzzy domain ontology extraction method for adaptive e-learning. IEEE Transactions on Knowledge and Data Engineering, 21 (6), pp. 800-813.
    With the wide spread applications of e-Learning technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. ...
  • Towards context-sensitive information inference. 

    Song, Dawei; Bruza, Peter D. (Wiley http://dx.doi.org/10.1002/asi.10213, 2003-02)
    SONG, D. and BRUZA, P. D., 2003. Towards context-sensitive information inference. Journal of the American Society for Information Science and Technology, 54 (4), pp. 321-334.
    Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. By drawing on theories from non-classical logic and applied cognition, ...
  • Towards operational abduction from a cognitive perspective. 

    Bruza, Peter D.; Cole, R. J.; Song, Dawei; Bari, Z. Abdul (Oxford Journals http://dx.doi.org/10.1093/jigpal/jzk012, 2006-03)
    BRUZA, P. D., COLE, R. J., SONG, D. and BARI, Z. Towards operational abduction from a cognitive perspective. Logic Journal, 14 (2), pp. 161-177.
    Diminishing awareness is a consequence of the information explosion: disciplines are becoming increasingly specialized; individuals and groups are becoming ever more insular. This article considers how awareness can be ...
  • You have e-mail, what happens next? Tracking the eyes for genre. 

    Clark, Malcolm John; Ruthven, Ian; Holt, Patrik; Song, Dawei; Watt, Stuart (Elsevier http://dx.doi.org/10.1016/j.ipm.2013.08.005, 2014-01)
    CLARK, M., RUTHVEN, I., HOLT, P. O’B., SONG, D. and WATT, S., 2014. You have e-mail, what happens next? Tracking the eyes for genre. Information Processing & Management, 50 (1), pp. 175-198.
    This paper reports on an approach to the analysis of form (layout and formatting) during genre recognition recorded using eye tracking. The researchers focused on eight di erent types of e-mail, such as calls for papers, ...