处方或描述:对概念建模过程的一些观察

C. Atkins
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引用次数: 4

摘要

ER(实体-关系)模型被广泛用于描述组织的数据需求,是一种常用的数据建模工具。可选择的建模技术和方法通常只在更高级的级别上提供。本文认为,这些替代方法之一,NIAM(自然语言信息分析方法)通过其规定性方法和自然语言方法,提供了增强概念建模过程初始阶段的技术。因此,向潜在的信息系统(IS)专业人员教授NIAM方法,作为更一般的数据建模组件的一部分,将为他们提供更丰富的技能集,提高他们的数据建模能力,他们生成的模型的质量以及他们与用户有效沟通的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prescription or description: some observations on the conceptual modelling process
The ER (Entity-Relationship) Model is widely used to describe the data requirements of organisations and is a commonly taught data modelling tool. Alternative modelling techniques and methodologies are often only offered at more advanced levels. This paper argues that one of these alternatives, NIAM (Natural Language Information Analysis Method) offers, via its prescriptive method and natural language approach, techniques that enhance the initial stages of the conceptual modelling process. Consequently the teaching of the NIAM methodology, to potential information systems (IS) professionals, as part of a more general data modelling component will provide them with a richer skill set, improving their data modelling capabilities, the quality of the models they produce and their ability to communicate effectively with their users.
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