Publication statistics

Pub. period:2003-2009
Pub. count:13
Number of co-authors:15



Co-authors

Number of publications with 3 favourite co-authors:

Yuefeng Li:4
Yue Xu:4
Xujuan Zhou:4

 

 

Productive colleagues

Raymond Y. K. Lau's 3 most productive colleagues in number of publications:

Dawei Song:22
Yuefeng Li:20
Peter Bruza:17
 
 
 

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Raymond Y. K. Lau

 

Publications by Raymond Y. K. Lau (bibliography)

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2009
 
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Xu, Kaiquan, Liao, Stephen Shaoyi, Lau, Raymond Y. K., Liao, Lejian and Tang, Heng (2009): Self-Teaching Semantic Annotation Method for Knowledge Discovery from Text. In: HICSS 2009 - 42st Hawaii International International Conference on Systems Science 5-8 January, 2009, Waikoloa, Big Island, HI, USA. pp. 1-7. Available online

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. Available online

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.

© All rights reserved Lau et al. and/or ACM Press

 
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Li, Yuefeng, Zhou, Xujuan, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K. (2008): A two-stage text mining model for information filtering. 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. 1023-1032. Available online

2007
 
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Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Wu, Sheng-Tang, Xu, Yue and Lau, Raymond Y. K. (2007): Using Information Filtering in Web Data Mining Process. In: 2007 IEEE / WIC / ACM International Conference on Web Intelligence WI 2007 2-5 November, 2007, Silicon Valley, CA, USA. pp. 163-169. Available online

 
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Lau, Raymond Y. K., Li, Yuefeng and Xu, Yue (2007): Mining Fuzzy Domain Ontology from Textual Databases. In: 2007 IEEE / WIC / ACM International Conference on Web Intelligence WI 2007 2-5 November, 2007, Silicon Valley, CA, USA. pp. 156-162. Available online

 
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Lau, Raymond Y. K. and Wong, On (2007): Mining Negotiation Knowledge for Adaptive Negotiation Agents in e-Marketplaces. In: HICSS 2007 - 40th Hawaii International International Conference on Systems Science 3-6 January, 2007, Waikoloa, Big Island, HI, USA. p. 47. Available online

 
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Lau, Raymond Y. K., Hao, Jin Xing, Tang, Maolin and Zhou, Xujuan (2007): Towards Context-Sensitive Domain Ontology Extraction. In: HICSS 2007 - 40th Hawaii International International Conference on Systems Science 3-6 January, 2007, Waikoloa, Big Island, HI, USA. p. 60. Available online

2006
 
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Zhou, Xujuan, Wu, Sheng-Tang, Li, Yuefeng, Xu, Yue, Lau, Raymond Y. K. and Bruza, Peter D. (2006): Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 558-564. Available online

2005
 
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Lau, Raymond Y. K. (2005): Adaptive negotiation agents for e-business. In: Li, Qi and Liang, Ting-Peng (eds.) Proceedings of the 7th International Conference on Electronic Commerce - ICEC 2005 August 15-17, 2005, Xian, China. pp. 271-278. Available online

 
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Lau, Raymond Y. K. (2005): Towards Genetically Optimised Multi-Agent Multi-Issue Negotiations. In: HICSS 2005 - 38th Hawaii International Conference on System Sciences 3-6 January, 2005, Big Island, HI, USA. . 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.

© All rights reserved Lau et al. and/or ACM Press

 
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Lau, Raymond Y. K. and Valdal, Eivind (2004): Discovering Negotiation Knowledge for a Probabilistic Negotiation Web Service in e-Business. In: 2004 IEEE/WIC/ACM International Conference on Web Intelligence WI 2004 20-24 September, 2004, Beijing, China. pp. 264-270. Available online

2003
 
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Lau, Raymond Y. K. (2003): Context Sensitive Text Mining and Belief Revision for Adaptive Information Retrieval. In: 2003 IEEE / WIC International Conference on Web Intelligence - WI 2003 13-17 October, 2003, Halifax, Canada. pp. 256-262. Available online

 
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