An Ontology-Driven Methodology To Derive Cases From Structured And Unstructured Sources
The problem-solving capability of a Case-Based Reasoning (CBR) system largely depends on the richness of its knowledge stored in the form of cases, i.e. the CaseBase (CB). Populating and subsequently maintaining a critical mass of cases in a CB is a tedious manual activity demanding vast human and o...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | http://eprints.usm.my/46234/ |