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Title: The development of a generic, extensible and web-enabled cbr architecture
Author: Asemota, Ekhorutomwen.
ISNI:       0000 0001 3430 1790
Awarding Body: University of the West of Scotland
Current Institution: University of the West of Scotland
Date of Award: 2008
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Although CBR has been identified as a viable technique for developing computer-based problem resolution solutions especially within ill-defined domains, the success of such solutions is dependent on the content and quality of the CBR's case base. If the cases within the case base contain inaccurate information, the resolutions offered by the CBR technique will be inaccurate. Traditionally, CBR case bases are built by importing experiential data from a given domain followed by a transformation and loading of the data into the case base. Case bases developed in this manner often contains gaps in the information captured within the case base. In addition, as the experiential data are obtained after the experiences they represent have long occurred, the validity of such data may also be questionable. A more robust approach for transferring domain data into the CBR technique is therefore to obtain the data in real-time as they are encountered and to automatically allow domains to submit the data. The novel, generic, extensible and webenabled CBR architecture developed by this programme of research delivers such a robust approach. The cornerstone of this architecture is the development and introduction of an abstraction layer between a domain and the CBR technique; the Framework Controller component (FC). This layer accepts string data from a domain and then transforms this data into a predefined XML data format. Through this layer, the underlying CBR solution within the architecture is able to support a varying number of domains as the abstraction layer transforms domain data to the predefined XML format. In order to ensure that the architecture was computer platform-neutral, the architecture was ported onto a web platform via web services. This unique feature of the CBR architecture presents a powerful capability through which various sections of a domain can collaborate irrespective of their computer infrastructure or geographical location. As such, allowing the CBR technique to harness the wisdom of the crowd both in determining the actual context of encountered experiences and in developing robust CBR case bases. Through the developed CBR architecture, any domain utilising the CBR technique has a robust means for managing the content of cases within the CBR case base and is able to sufficiently describe experiences within the domain. As such, the domain in essesnce controls the problem resolution capability offered by the CBR technique. This is a unique and novel approach to the development of CBR solutions. In order to demonstrate the CBR architecture, a prototype application within the ill-defined exemplar domain of UNDT B-Scan image interpretation was developed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available