Dawei Song

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Publications by Dawei Song (bibliography)

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» 2008 «

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Lau, Raymond Y. K., Bruza, Peter D. and Song, Dawei (2008): Towards a belief-revision-based adaptive and context-sensitive information retrieval system. In ACM Transactions on Information Systems, 26 (2) p. 8

In an adaptive information retrieval (IR) setting, the information seekers' beliefs about which terms are relevant or nonrelevant will naturally fluctuate. This article investigates how the theory of belief revision can be used to model adaptive IR. More specifically, belief revision logic provides a rich representation scheme to formalize retrieval contexts so as to disambiguate vague user queries. In addition, belief revision theory underpins the development of an effective mechanism to revise user profiles in accordance with information seekers' changing information needs. It is argued that information retrieval contexts can be extracted by means of the information-flow text mining method so as to realize a highly autonomous adaptive IR system. The extra bonus of a belief-based IR model is that its retrieval behavior is more predictable and explanatory. Our initial experiments show that the belief-based adaptive IR system is as effective as a classical adaptive IR system. To our best knowledge, this is the first successful implementation and evaluation of a logic-based adaptive IR model which can efficiently process large IR collections.

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Zhu, Jianhan, Song, Dawei, Rüger, Stefan M. and Huang, Xiangji (2008): Modeling document features for expert finding. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun and Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 1421-1422. Available online

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Huang, Qiang and Song, Dawei (2008): A latent variable model for query expansion using the hidden markov model. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun and Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 1417-1418. Available online

» 2007 «

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Huang, Zi, Shen, Hengtao, Zhou, Xiaofang, Song, Dawei and Rüger, Stefan (2007): Dimensionality reduction for dimension-specific search. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007. pp. 849-850. Available online

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 of k-NN query, namely conditional k-NN (ck-NN), which considers dimension-specific constraint in addition to the inter-point distances. However, existing dimensionality reduction methods are not applicable to this new type of queries. We propose a novel Mean-Std (standard deviation) guided Dimensionality Reduction (MSDR) to support a pruning based efficient ck-NN query processing strategy. Our preliminary experimental results on 3D protein structure data demonstrate that the MSDR method is promising.

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» 2006 «

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Yan, Xin, Song, Dawei and Li, Xue (2006): Concept-based document readability in domain specific information retrieval. In: Yu, Philip S., Tsotras, Vassilis J., Fox, Edward A. and Liu, Bing (eds.) Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management November 6-11, 2006, Arlington, Virginia, USA. pp. 540-549. Available online

» 2005 «

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Bai, Jing, Song, Dawei, Bruza, Peter, Nie, Jian-Yun and Cao, Guihong (2005): Query expansion using term relationships in language models for information retrieval. In: Herzog, Otthein, Schek, Hans-Jörg and Fuhr, Norbert (eds.) Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management October 31 - November 5, 2005, Bremen, Germany. pp. 688-695. Available online

» 2004 «

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Lau, Raymond Y. K., Bruza, Peter D. and Song, Dawei (2004): Belief revision for adaptive information retrieval. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 130-137. Available online

Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inherent in any information retrieval (IR) processes. In particular, a retrieval context can be formalised as a belief set and the formalised context is used to disambiguate vague user queries. Belief revision logic also provides a robust computational mechanism to revise an IR system's beliefs about the users' changing information needs. In addition, information flow is proposed as a text mining method to automatically acquire the initial IR contexts. The advantage of a belief-based IRsystem is that its IR behaviour is more predictable and explanatory. However, computational efficiency is often a concern when the belief revision formalisms are applied to large real-life applications. This paper describes our belief-based adaptive IR system which is underpinned by an efficient belief revision mechanism. Our initial experiments show that the belief-based symbolic IR model is more effective than a classical quantitative IR model. To our best knowledge, this is the first successful empirical evaluation of a logic-based IR model based on large IR benchmark collections.

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» 2003 «

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Bruza, Peter and Song, Dawei (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 2003. pp. 419-420. Available online

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Song, Dawei and Bruza, Peter (2003): Towards context sensitive information inference. In JASIST - Journal of the American Society for Information Science and Technology, 54 (4) pp. 321-334

» 2002 «

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Bruza, Peter and Song, Dawei (2002): Inferring query models by computing information flow. In: Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management November 4-9, 2002, McLean, VA, USA. pp. 260-269. Available online

» 2001 «

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Wong, Kam-Fai, Song, Dawei, Bruza, Peter D. and Cheng, Chun-Hung (2001): Application of aboutness to functional benchmarking in information retrieval. In 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 good at assessing the retrieval effectiveness of an IR system, they fail to explore deeper aspects such as its underlying functionality and explain why the system shows such performance. Recently, inductive (i.e., theoretical) evaluation of IR systems has been proposed to circumvent the controversies of the experimental methods. Several studies have adopted the inductive approach, but they mostly focus on theoretical modeling of IR properties by using some metalogic. In this article, we propose to use inductive evaluation for functional benchmarking of IR models as a complement of the traditional experiment-based performance benchmarking. We define a functional benchmark suite in two stages: the evaluation criteria based on the notion of "aboutness," and the formal evaluation methodology using the criteria. The proposed benchmark has been successfully applied to evaluate various well-known classical and logic-based IR models. The functional benchmarking results allow us to compare and analyze the functionality of the different IR models.

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Song, Dawei and Bruza, Peter (2001): Discovering information flow suing high dimensional conceptual space. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2001. pp. 327-333. Available online

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 Gardenforss recent three-level cognitive model. The connectionist level is primed with the Hyperspace Analogue to Language (HAL) algorithm which produces vector representations for use at the conceptual level. We show how inference at the symbolic level can be implemented by employing Barwise and Seligmans theory of information flow. This article also features heuristics for enhancing HAL-based representations via the use of quality properties, determining concept inclusion and computing concept composition. The worth of these heuristics in underpinning informational inference are demonstrated via a series of experiments. These experiments, though small in scale, show that informational inference proposed in this article has a very different character to the semantic associations produced by the Minkowski distance metric and concept similarity computed via the cosine coefficient. In short, informational inference generally uncovers concepts that are carried, or, in some cases, implied by another concept, (or combination of concepts).

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» 2000 «

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Bruza, Peter, Song, Dawei and Wong, Kam-Fai (2000): Aboutness from a commonsense perspective. In JASIST - Journal of the American Society for Information Science and Technology, 51 (12) pp. 1090-1105

» 1999 «

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Bruza, Peter, Song, Dawei and Wong, Kam-Fai (1999): Fundamental Properties of Aboutness. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1999. pp. 277-278. Available online

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Changes to this page (author)

20 Feb 2010: Enabled abstracts to be shown on Dawei Song's author page.
01 Jun 2009: Author was edited
31 May 2009: Author was edited
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28 Apr 2003: Added the author to the bibliography

Publication statistics

Publication period:1999-2008
Publication count:14
Number of co-authors:18



Productive colleagues

Dawei Song's 3 most productive colleagues in number of publications:

Jian-Yun Nie:26
Peter Bruza:15
Kam-Fai Wong:13


Collaboration count

Number of publications with 3 favourite co-authors:

Peter Bruza:7
Peter D. Bruza:3
Kam-Fai Wong:3

 

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Mar 20

Computer programs emerge as the outcome of complex human processes of cognition, communication and negotiation, which serve to establish the meaningful embedding of the computer system in its intended use context.

-- Floyd, 1992, p. 24

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