A query-based cross-language diagnosis tool for distributed decision making support

被引：2
|
作者：
Choe, Pilsung [1 ]
Lehto, Mark R. [1 ]
Park, Hyung Jun [2 ]
Allebach, Jan [2 ]
机构：
[1] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
[2] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2009年 / 57卷 / 01期
关键词：
CLIR; Cross-language information retrieval; CLD; Cross-language diagnosis; Print quality troubleshooting; Website localization; WEB; SYSTEM;
D O I：
10.1016/j.cie.2008.11.020
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A query translation-based Korean-English cross-language diagnosis (Q-KE-CLD) tool for assisting Korean users diagnosing print defects was developed and then evaluated as a case study of distributed decision making support for normative English users. The first step in developing the Q-KE-CLD tool involved collecting and analyzing print defect descriptions in Korean and English. A fuzzy Bayesian model was obtained from the descriptions and the Q-KE-CLD tool was developed. The tool was then experimentally evaluated in four different universities in South Korea. Results showed that Korean subjects generated Korean queries faster (p = 0.008) when entering Korean queries. In addition, the subjects rated Korean queries as being easier to generate (p = 0.004). Untrained subjects reported that use of the Korean language made it easier to generate queries and identify print defects. The overall results suggested that query translation-based cross-language diagnosis is a feasible approach for localizing troubleshooting websites. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：37 / 45
页数：9
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