Please use this identifier to cite or link to this item:
|Title:||An ontology-based similarity measurement for problem-based case reasoning|
|Authors:||Lau, Sau-mui Adela|
Lee, W. B.
Ontology-based similarity measurement
|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.|
|Rights:||Expert Systems with Applications © 2008 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com.|
|Appears in Collections:||ISE Journal/Magazine Articles|
Files in This Item:
|ESA_Adela.pdf||Pre-published version||142.41 kB||Adobe PDF||View/Open|
All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.