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|Title: ||An ontology-based similarity measurement for problem-based case reasoning|
|Authors: ||Lau, Sau-mui Adela|
Lee, W. B.
|Subjects: ||Knowledge retrieval|
Ontology-based similarity measurement
|Issue Date: ||Apr-2009 |
|Citation: ||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.|
|Description: ||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.|
|Type: ||Journal/Magazine Article|
|Appears in Collections:||ISE Journal/Magazine Articles|
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