Publication Type
Journal Article
Version
publishedVersion
Publication Date
3-1997
Abstract
A major difficulty of query writing is that users do not fully understand queries. A system providing feedback is proposed so as to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-points syntax errors, and suggests possible solutions. It also finds likely semantic errors, and provides possible solutions. The system was implemented for a query language based on the entity relationship model. It is expected to lead to better user performance. Empirical testing showed significant improvement in user performance with the feedback system. The system can be used for computer-aided training and in actual operations.
Keywords
Computer aided training, English feedback, Entity relationship model, User performance, User understanding
Discipline
Databases and Information Systems | Programming Languages and Compilers
Research Areas
Data Science and Engineering; Information Systems and Management
Publication
Information and Software Technology
Volume
39
Issue
3
First Page
141
Last Page
148
ISSN
0950-5849
Identifier
10.1016/S0950-5849(96)01136-6
Publisher
Elsevier
Citation
CHAN, Hock Chuan; WEI, Kwok Kee; and SIAU, Keng.
A system for query comprehension. (1997). Information and Software Technology. 39, (3), 141-148.
Available at: https://ink.library.smu.edu.sg/sis_research/9594
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/S0950-5849(96)01136-6