Now showing items 1-20 of 49

  • Abduction in semantic space: towards a logic of discovery 

    Bruza, Peter D.; Song, Dawei; McArthur, Robert (Oxford Journals http://dx.doi.org/10.1093/jigpal/12.2.97, 2004-03)
    BRUZA, P. D., SONG, D. and MCARTHUR, R., 2004. Abduction in semantic space: towards a logic of discovery. Logic Journal, 12 (2), pp. 97-109.
    Diminishing awareness is a consequence of the information explosion: disciplines are becoming increasingly specialized; individuals are becoming ever more insular. This paper considers how awareness can be enhanced via ...
  • Aboutness from a commonsense perspective. 

    Bruza, Peter D.; Song, Dawei; Wong, Kam-Fai (Wiley, 2000-10)
    BRUZA, P. D., SONG, D. and WONG, K. F., 2000. Aboutness from a commonsense perspective. Journal of the American Society for Information Science and Technology (JASIST), 51 (12), pp. 1090- 1105.
    Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts spawned from logic-based information retrieval theory have formalized properties characterizing ...
  • Application of aboutness to functional benchmarking in information retrieval. 

    Wong, Kam-Fai; Song, Dawei; Bruza, Peter D.; Cheng, Chin-Hung (ACM http://doi.acm.org/10.1145/502795.502796, 2001-10)
    WONG, K. F., SONG, D., BRUZA, P. D. and CHENG, C. H., 2001. Application of aboutness to functional benchmarking in information retrieval. ACM Transactions on Information Systems, 19 (4), pp. 337-370.
    Experimental approaches are widely employed to benchmark the performance of an information retrieval (IR) system. Measurements in terms of recall and precision are computed as performance indicators. Although they are ...
  • Approximating true relevance model in relevance feedback. 

    Zhang, Peng (Robert Gordon University School of Computing Science and Digital Media, 2013-01)
    Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. ...
  • Automatically structuring domain knowledge from text: a review of current research. 

    Clark, Malcolm John; Kim, Yunhyong; Kruschwitz, Udo; Song, Dawei; Albakour, Dyaa; Dignum, Stephen; Beresi, Ulises Cervino; Fasli, Maria; De Roeck, Anne (Elsevier http://dx.doi.org/10.1016/j.ipm.2011.07.002, 2012-05)
    CLARK, M., KIM, Y., KRUSCHWITZ, U., SONG, D., ALBAKOUR, D., DIGNUM, S., BERESI, U. C., FASLI, M. and DE ROECK, A., 2012. Automatically structuring domain knowledge from text: a review of current research. Information Processing & Management, 48 (3), pp. 552-568.
    This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and ...
  • Back to the future: a logical framework for temporal information representation and inferencing from financial news. 

    Huang, Zi; Wong, Kam-Fai; Li, Wenjei; Song, Dawei; Bruza, Peter D. (IEEE, 2003-10)
    HUANG, Z., WONG, K-F., LI, W., SONG, D., and BRUZA, P. D., 2003. Back to the future: a logical framework for temporal information representation and inferencing from financial news. In: C. ZONG, ed. 2003 International Conference on Natural Language Processing and Knowledge Engineering: Proceedings. October 2003. IEEE Press. pp.95-101.
    Temporal information carries information about changes and time of the changes. Consider a company investing in another company. The former may choose to inject the money gradually with the amount and frequency depending ...
  • Characterizing pure high-order entanglements in lexical semantic spaces via information geometry. 

    Hou, Yuexian; Song, Dawei (Springer The original publication is available at www.springerlink.com http://dx.doi.org/10.1007/978-3-642-00834-4_20, 2009-04)
    HOU, Y., and SONG, D., 2009. Characterizing pure high-order entanglements in lexical semantic spaces via information geometry. In: P. BRUZA et al., eds. Quantum Interaction: Third International Symposium,QI 2009, Saarbrucken, Germany, March 2009, Proceedings. 25-27 March. Berlin: Springer. pp. 237-250.
    An emerging topic in Quantuam Interaction is the use of lexical semantic spaces, as Hilbert spaces, to capture the meaning of words. There has been some initial evidence that the phenomenon of quantum entanglement exists ...
  • Classifying document titles based on information inference. 

    Song, Dawei; Bruza, Peter D.; Huang, Zi; Lau, Raymond Y. K. (Springer http://dx.doi.org/10.1007/b14019, 2003-10)
    SONG, D., BRUZA, P., HUANG, Z. and LAU, R., 2003. Classifying document titles based on information inference. In: N. ZHONG, Z. RAS, S. TSUMOTO and E. SUZUKI, eds. Foundations of Intelligent Systems : 14th International Symposium, ISMIS 2003 Maebashi City, Japan, October 28-31, 2003 : Proceedings. Berlin: Springer. pp. 297-306.
    We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitively motivated model, namely Hyperspace ...
  • Commonsense aboutness for information retrieval. 

    Bruza, Peter D.; Song, Dawei; Wong, Kam-Fai; Cheng, Chin-Hung (IOS Press, 2000)
    BRUZA, P. D., SONG, D., WONG, K. F. and CHENG, C. H., 2000. Commonsense aboutness for information retrieval. In: M. MOHAMMADIAN, ed. Advances in Intelligent Systems: Theory and Applications. Amsterdam: IOS Press. pp. 288-295.
    Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts have been made to formalize properties of “aboutness”, but no consensus has been reached. The properties ...
  • Comparing dissimilarity measures for content-based image retrieval. 

    Liu, Haiming; Song, Dawei; Ruger, Stefan; Hu, Rui; Uren, Victoria (Springer http://dx.doi.org/10.1007/978-3-540-68636-1_5, 2008)
    LIU, H., SONG, D., RUGER, S., HU, R. AND UREN, V., 2008. Comparing dissimilarity measures for content-based image retrieval. In: H. LI, T. LIU, W-Y. MA, T. SAKAI, K-F. WONG and G. ZHOU, eds. Information Retrieval Technology: 4th Asia Information Retrieval Symposium, AIRS 2008, Harbin, China, January 15-18, 2008; Revised Selected Papers. Berlin: Springer. pp. 44-50.
    Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity ...
  • A comparison of various approaches for using probabilistic dependencies in language modeling. 

    Bruza, Peter D.; Song, Dawei (ACM http://doi.acm.org/10.1145/860435.860530, 2003-08)
    BRUZA, P. D. and SONG, D., 2003. A comparison of various approaches for using probabilistic dependencies in language modeling. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2003). 28 July – 01 August 2003. New York: ACM. pp. 419-420
    The goals of this article is to study several estimates of relevance models which will be computed based on differing approaches for incorporating term dependency information. In this way, we hope to shed light on the ...
  • Concept induction via fuzzy C-means clustering in a high dimensional semantic space. 

    Song, Dawei; Cao, Guihong; Bruza, Peter D.; Lau, Raymond Y. K. (Wiley., 2007)
    SONG, D., CAO, G., BRUZA, P.D. and LAU, R. Y. K., 2007. Concept induction via fuzzy C-means clustering in a high dimensional semantic space. In: J. VALENTE DE OLIVEIRA and W. PEDRYCZ, eds. Advances in fuzzy clustering and its applications. Chichester: Wiley. Pp. 393-403.
    Lexical semantic space models have recently been investigated to automatically derive the meaning (semantics) of information based on natural language usage. In a semantic space, a term can be considered as a concept ...
  • Concept learning and information inferencing on a high dimensional semantic space. 

    Song, Dawei; Bruza, Peter D.; Cole, R. J. (ACM/SIGIR, 2004-07)
    SONG, D., BRUZA, P. D. and COLE, R. J., 2004. Concept learning and information inferencing on a high-dimensional semantic space. In: ACM SIGIR 2004 Workshop on Mathematical/Formal Methods in Information Retrieval (MF/IR2004). Sheffield, United Kingdom, 25-29 July 2004.
    How to automatically capture a significant portion of relevant background knowledge and keep it up-to-date has been a challenging problem encountered in current research on logic based information retrieval. This ...
  • Concept-based document readability in domain specific information retrieval. 

    Yan, Xin; Song, Dawei; Li, Xue (ACM http://doi.acm.org/10.1145/1183614.1183692, 2006)
    YAN, X., SONG, D. and LI, X., 2006. Concept-based document readability in domain specific information retrieval. In: P. YU, V. TSOTRAS, E. FOX and B. LIU, eds. Proceedings of the 15th ACM International Conference on Information and Knowledge Management. 6-11 November 2006. Arlington, VA, USA. pp. 540-549.
    Domain specific information retrieval has become in demand. Not only domain experts, but also average non-expert users are interested in searching domain specific (e.g., medical and health) information from online resources. ...
  • Content based video retrieval via spatial-temporal information discovery. 

    Wang, Lei (Robert Gordon University School of Computing Science and Digital Media, 2013-12)
    Content based video retrieval (CBVR) has been strongly motivated by a variety of realworld applications. Most state-of-the-art CBVR systems are built based on Bag-of-visual- Words (BovW) framework for visual resources ...
  • Dimension-specific search for advanced applications. 

    Zi, Huang; Shen, Heng Tao; Song, Dawei; Li, Xue; Rueger, Stefan (Springer http://dx.doi.org/10.1007/978-3-642-00887-0_60 The original publication is available at www.springerlink.com., 2009-03)
    HUANG, Z., SHEN, H. T., SONG, D., LI, X. and RUEGER, S., 2009. Dimension-specific search for multimedia retrieval. In: X. ZHOU et al., eds. Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 2009, Proceedings. 21-23 April 2009. Berlin: Springer. pp. 693-698.
    Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause pos- sible performance limitation, we propose the first Dimension-specific ...
  • Dimensionality reduction for dimension-specific search. 

    Huang, Zi; Shen, Heng Tao; Zhou, Xiaofang; Song, Dawei; Ruger, Stefan (ACM http://doi.acm.org/10.1145/1277741.1277940, 2007)
    HUANG, Z., SHEN, H., ZHOU, X., SONG, D. and RUGER, S. 2007. Dimensionality reduction for dimension-specific search. In: C. CLARKE, N. FUHR, N. KANDO, W. KRAAIJ and A. DE VRIES, eds. Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 23-27 July 2007. Amsterdam. pp. 849-850
    Dimensionality reduction plays an important role in efficient similarity search, which is often based on k-nearest neighbor (k-NN) queries over a high-dimensional feature space. In this paper, we introduce a novel type ...
  • Dimensionality reduction in patch-signature based protein structure matching. 

    Huang, Zi; Zhou, Xiaofang; Song, Dawei; Bruza, Peter D. (Australian Computer Society. http://www.crpit.com/confpapers/CRPITV49Huang.pdf, 2006-01)
    HUANG, Z., ZHOU, X., SONG, D. and BRUZA, P., 2006. Dimensionality reduction in patch-signature based protein structure matching. In: G. DOBBIE and J. BAILEY, eds. Database Technologies 2006: Proceedings of the 17th Australasian Database Conference (ADC2006). 16-19 January 2006. Hobart, Tasmania: Australian Computer Society, pp. 89-97.
    Searching bio-chemical structures is becoming an important application domain of information re- trieval. This paper introduces a protein structure matching problem and formulates it as an infor- mation retrieval ...
  • Discovering information flow using a high dimensional conceptual space. 

    Song, Dawei; Bruza, Peter D. (ACM Press. http://doi.acm.org/10.1145/383952.384017, 2001-09)
    SONG, D. and BRUZA, P. D., 2001. Discovering information flow using a high dimensional conceptual space. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 9-13 September 2001. New York: ACM. pp. 327-333.
    This paper presents an informational inference mechanism realized via the use of a high dimensional conceptual space. More specifically, we claim to have operationalized important aspects of Gärdenfors’s recent three-level ...
  • Dissimilarity measures for content-based image retrieval. 

    Hu, Rui; Ruger, Stefan; Song, Dawei; Liu, Haiming; Huang, Zi (IEEE http://dx.doi.org/10.1109/ICME.2008.4607697, 2008-06)
    HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z., 2008. Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference on Multimedia and Expo: ICME 2008: Proceedings. 23-26 June 2008. IEEE. pp. 1365-1368.
    Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three ...