Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1462
Title: | An ontology-based similarity measurement for problem-based case reasoning | Authors: | Lau, SMA Tsui, E Lee, WB |
Issue Date: | Apr-2009 | Source: | Expert systems with applications, Apr. 2009, v. 36, no. 3, pt. 2, p. 6574-6579 | Abstract: | Traditional case-based reasoning uses a table/frame or scenario to represent a case. It assumed that similar input/event results in similar output/event state. However, similar cases may not have similar output/event states since problem solver may have different way to break down the problem. Thus, authors previously proposed problem-based case reasoning to overcome the limitation of the traditional approaches and used clustered ontology to represent the problem spaces of a case. However, synonym problem causes the mismatch of similar sub-problems of historical cases for new case. Thus, this paper proposed ontology-based similarity measurement to retrieve the similar sub-problems that overcomes the synonym problems on case retrieval. The recall and precise of ontology-based similarity measurement were higher than that of the traditional similarity measurement. | Keywords: | Knowledge retrieval Ontology-based similarity measurement Problem-driven case |
Publisher: | Pergamon Press | Journal: | Expert systems with applications | ISSN: | 0957-4174 | EISSN: | 1873-6793 | DOI: | 10.1016/j.eswa.2008.07.033 | Rights: | Expert Systems with Applications © 2008 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com. |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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ESA_Adela.pdf | Pre-published version | 142.41 kB | Adobe PDF | View/Open |
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