Outputs (14)

Complexity modelling for case knowledge maintenance in case-based reasoning. (2006)
Thesis
MASSIE. S. 2006. Complexity modelling for case knowledge maintenance in case-based reasoning. Robert Gordon University, PhD thesis.

Case-based reasoning solves new problems by re-using the solutions of previously solved similar problems and is popular because many of the knowledge engineering demands of conventional knowledge-based systems are removed. The content of the case kno... Read More about Complexity modelling for case knowledge maintenance in case-based reasoning..

Enabling management oversight in corporate blog space. (2006)
Conference Proceeding
SONG, D., BRUZA, P., MCARTHUR, R. and MANSFIELD, T. 2006. Enabling management oversight in corporate blog space. In Nicolov, N., Salvetti, F., Liberman, M. and Martin, J.H. (eds.) Computational approaches to analyzing weblogs: proceedings of the 2006 American Association for Artificial Intelligence (AAAI) Spring symposium, 27-29 March 2006, Stanford, USA. Palo Alto: AAAI Press.

When a modern corporation empowers its staff to use blogs to communicate with colleagues, partners, suppliers and customers, the role of management in exercising oversight and guidance over the public speech of staff becomes dramatically challenged.... Read More about Enabling management oversight in corporate blog space..

Introduction to special issue on reasoning in natural language information processing. (2006)
Journal Article
SONG, D. and NIE, J. Y. 2006. Introduction to special issue on reasoning in natural language information processing. ACM transactions on Asian language information processing [online], 5(4), pages 291-295. Available from: https://doi.org/10.1145/1236181.1236182

For any applications related to Natural Language Processing (NLP), reasoning has been recognized as a necessary underlying aspect. Many of the existing work in NLP deals with specific NLP problems in a highly heuristic manner, yet not from an explici... Read More about Introduction to special issue on reasoning in natural language information processing..

LRD: latent relation discovery for vector space expansion and information retrieval. (2006)
Conference Proceeding
GONCALVES, A., ZHU, J., SONG, D., UREN, V. and PACHECO, R. 2006. LRD: latent relation discovery for vector space expansion and information retrieval. In Yu, J.X., Kitsuregawa, M. and Leong, H.V. (eds.) Advances in web-age information management: proceedings of the 7th International conference on web-age information management (WAIM 2006), 17-19 June 2006, Hong Kong, China. Lecture notes in computer science, 4016. Berlin: Springer [online], pages 122-133. Available from: https://doi.org/10.1007/11775300_11

In this paper, we propose a text mining method called LRD (latent relation discovery), which extends the traditional vector space model of document representation in order to improve information retrieval (IR) on documents and document clustering. Ou... Read More about LRD: latent relation discovery for vector space expansion and information retrieval..

Concept-based document readability in domain specific information retrieval. (2006)
Conference Proceeding
YAN, X., SONG, D. and LI, X. 2006. Concept-based document readability in domain specific information retrieval. In Proceedings of the 15th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'06), 5-11 November 2006, Arlington, USA. New York: ACM [online], pages 540-549. Available from: https://doi.org/10.1145/1183614.1183692

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. However, a typical proble... Read More about Concept-based document readability in domain specific information retrieval..

Learning to improve software processes. (2006)
Journal Article
ALLISON, I. and MERALI, Y. 2006. Learning to improve software processes. Communications of the IIMA [online], 6(1), article number 2. Available from: https://scholarworks.lib.csusb.edu/ciima/vol6/iss1/2/

Software Process Improvement (SPI) programs are frequently considered to be planned in nature. However, there is recent evidence to suggest that SPI can be understood as a form of learning. Drawing on the organizational learning literature this paper... Read More about Learning to improve software processes..

An introduction to interval-based constraint processing. (2006)
Journal Article
RENKER, G. and AHRIZ, H. 2006. An introduction to interval-based constraint processing. Archives of control sciences, 16(2), pages 161-190.

Constraint programming is often associated with solving problems over finite domains. Many applications in engineering, CAD and design, however, require solving problems over continuous (real-valued) domains. While simple constraint solvers can solve... Read More about An introduction to interval-based constraint processing..

Learning adaptation knowledge to improve case-based reasoning. (2006)
Journal Article
CRAW, S., WIRATUNGA, N. and ROWE, R. 2006. Learning adaptation knowledge to improve case-based reasoning. Artificial intelligence, 170(16-17), pages 1175-1192. Available from: https://doi.org/10.1016/j.artint.2006.09.001

Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, the retrieved solution can... Read More about Learning adaptation knowledge to improve case-based reasoning..

Solving the Ising spin glass problem using a bivariate EDA based on Markov random fields. (2006)
Conference Proceeding
SHAKYA, S.K., MCCALL, J.A.W. and BROWN, D.F. 2006. Solving the Ising spin glass problem using a bivariate EDA based on Markov random fields. In Proceedings of the 2006 IEEE congress on evolutionary computation (CEC 2006), 16-21 July 2006, Vancouver, Canada. New York: IEEE [online], article number 1688408, pages 908-915. Available from: https://doi.org/10.1109/CEC.2006.1688408

Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs). An EDA using this technique was called Distribution Estimation using Markov Ra... Read More about Solving the Ising spin glass problem using a bivariate EDA based on Markov random fields..

Exploiting semantic association to answer 'vague queries'. (2006)
Conference Proceeding
ZHU, J., EISENSTADT, M., SONG, D. and DENHAM, C. 2006. Exploiting semantic association to answer 'vague queries'. In Li, Y., Looi, M. and Zhong, N. (eds.) Advances in intelligent IT: proceedings of the 4th International conference on active media technology (AMT06), 7-9 June 2006, Brisbane, Australia. Frontiers in artificial intelligence and applications, 138. Amsterdam: IOS Press [online], pages 73-78. Available from: http://ebooks.iospress.nl/volumearticle/2511

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 users own mind. We argue that associations between terms in a sea... Read More about Exploiting semantic association to answer 'vague queries'..