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KNOWLEDGE-BASED APPROACHES TO DATABASE DESIGN
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DOI：10.2307/249508.png)
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摘要
En 中文
Database design is often described as an intuitive, even artistic, process. Many researchers, however, are currently working on applying techniques from artificial intelligence to provide effective automated assistance for this task. This article presents a summary of the current state of the art for the benefit of future researchers and users of this technology. Thirteen examples of knowledge-based tools for database design are briefly described and then compared in terms of the source, content, and structure of their knowledge bases; the amount of support they provide to the human designer; the data models and phases of the design process they support, and the capabilities they expect of their users. The findings show that there has apparently been very little empirical verification of the effectiveness of these systems. In addition, most rely exclusively on knowledge provided by the developers themselves and have little ability to expand their knowledge based on experience. Although such systems ideally would be used by application specialists rather than database professionals, most of these systems expect the user to have some knowledge of database technology.
Keyword:
KNOWLEDGE-BASED SOFTWARE
DATABASE DESIGN
EXPERT SYSTEMS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
