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Professor Nirmalie Wiratunga


A knowledge acquisition tool to assist case authoring from texts. (2009)
Thesis
ASIIMWE, S.M. 2009. A knowledge acquisition tool to assist case authoring from texts. Robert Gordon University, PhD thesis.

Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without even thinking about it. For exa... Read More about A knowledge acquisition tool to assist case authoring from texts..

Representation and learning schemes for sentiment analysis. (2009)
Thesis
MUKRAS, R. 2009. Representation and learning schemes for sentiment analysis. Robert Gordon University, PhD thesis.

This thesis identifies four novel techniques of improving the performance of sentiment analysis of text systems. Thes include feature extraction and selection, enrichment of the document representation and exploitation of the ordinal structure of rat... Read More about Representation and learning schemes for sentiment analysis..

Automatically acquiring structured case representations: the SMART way. (2008)
Conference Proceeding
ASIIMWE, S., CRAW, S., WIRATUNGA, N. and TAYLOR, B. 2008. Automatically acquiring structured case representations: the SMART way. In Ellis, R., Allen, T. and Petridis, M. (eds.) Applications and innovations in intelligent systems XV: application proceedings of the 27th Annual international conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI) (AI-2007): innovative techniques and applications of artificial intelligence, 10-12 December 2007, Cambridge, UK. London: Springer [online], pages 45-58. Available from: https://doi.org/10.1007/978-1-84800-086-5_4

Acquiring case representations from textual sources remains an interesting challenge for CBR research. Approaches based on methods in information retrieval require large amounts of data and typically result in knowledge-poor representations. The cost... Read More about Automatically acquiring structured case representations: the SMART way..

Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. (2007)
Thesis
CHAKRABORTI, S. 2007. Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. Robert Gordon University, PhD thesis.

Textual Case Based Reasoning (TCBR) aims at effective reuse of information contained in unstructured documents. The key advantage of TCBR over traditional Information Retrieval systems is its ability to incorporate domain-specific knowledge to facili... Read More about Introspective knowledge acquisition for case retrieval networks in textual case base reasoning..

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..

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..

Case-based reasoning for matching SMARTHOUSE technology to people's needs. (2004)
Journal Article
WIRATUNGA, N., CRAW, TAYLOR, B. and DAVIS, G. 2004. Case-based reasoning for matching SMARTHOUSE technology to people's needs. Knowledge-based systems [online], 17 (2-4), pages 139-146. Available from: https://doi.org/10.1016/j.knosys.2004.03.009

SMARTHOUSE technology offers devices that help the elderly and people with disabilities to live independently in their homes. This paper presents our experiences from a pilot project applying case-based reasoning techniques to match the needs of the... Read More about Case-based reasoning for matching SMARTHOUSE technology to people's needs..

Informed selection and use of training examples for knowledge refinement. (2000)
Thesis
WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.

Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the effectiveness and efficiency of... Read More about Informed selection and use of training examples for knowledge refinement..