Knowledge-Based Systems as Database Design Tools: A Comparative Study
Knowledge-Based Systems as Database Design Tools: A Comparative Study
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基于知识的系统作为数据库设计工具：比较研究
DOI：
10.4018/jdm.1999070103
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
J. Choobineh
中科院分区：
文献类型：
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作者：
Amber W. Lo;J. Choobineh
数据库设计过程是一项知识密集型任务，需要专业知识、实践经验和判断力。因此，在过去的几年中，文献中报道了许多研究原型数据库设计专家系统，这并不奇怪。本文就是对这类工具的综述。对这些工具进行了四个主要方面的比较：数据库设计支持、工具灵活性、专家系统特性和实现特性。本研究表明，总体而言，缺乏1)对设计所有阶段的支持，2)对群体数据库设计的支持，3)图形支持，4)工具有效性的实证验证，5)工具和数据库模式的长期维护，以及6)专门的知识表示方案，推理和学习技术。
Database design process is a knowledge intensive task that requires expertise, practical experience, and judgment. It is not surprising, therefore, that over the last few years many research prototype database design expert systems have been reported in the literature. This paper is a survey of such tools. These tools are compared with respect to four major aspects: database design support, tool flexibility, expert system features, and implementation characteristics. This study reveals that, in general, there is lack of 1) support for all the phases of the design, 2) support for group database design, 3) graphic support, 4) empirical verification of effectiveness of the tools, 5) long-term maintenance of the tool and database schemata, and 6) specialized knowledge representation schemes, inference, and learning techniques.