Case Authoring: From Textual Reports to Knowledge-Rich Cases

Authors:
Stella Asiimwe;Susan Craw;Bruce Taylor;Nirmalie Wiratunga
Affiliations:
School of Computing,;School of Computing,;Scott Sutherland School, The Robert Gordon University, Aberdeen, Scotland, UK;School of Computing,
Venue:
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Year:
2007

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Abstract

SmartCAT is a Case Authoring Tool that creates knowledge-rich cases from textual reports. Knowledge is extracted from the reports and used to learn a concept hierarchy. The reports are mapped onto domain-specific concepts and the resulting cases are used to create a hierarchically organised case-based system. Indexing knowledge is acquired automatically unlike most textual case-based reasoning systems. Components of a solution are attached to nodes and relevant parts of a solution are retrieved and reused at different levels of abstraction. We evaluate SmartCAT on the SmartHouse domain looking at the usefulness of the cases, the structure of the case-base and the retrieval strategy in problem-solving. The system generated solutions compare well with those of a domain expert.