Conceptual modeling from natural language functional specifications

Aryya Gangopadhyay
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引用次数: 33

Abstract

In this paper we describe a structured method for developing a conceptual data model by starting from a functional model expressed in a natural language. We have used the Conceptual Dependency theory for mapping natural language descriptions to conceptual dependency diagrams. We have developed algorithms to convert these conceptual dependency diagrams into unit conceptual dependency tables, which are then merged to represent the whole context of the application. We also show how transactional requirements can be incorporated into the unit conceptual dependency table, and subsequently convert the unit conceptual dependency table into a corresponding conceptual model. We have developed an augmented transition network (ATN) parser to develop conceptual dependency diagrams from natural language descriptions. A prototype system has been implemented using Oracle8i and developer platforms.

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基于自然语言功能规范的概念建模
在本文中,我们描述了一种结构化的方法来开发概念数据模型,从一个用自然语言表达的功能模型开始。我们使用概念依赖理论将自然语言描述映射到概念依赖图。我们已经开发了一些算法来将这些概念性依赖关系图转换为单元概念性依赖关系表,然后将它们合并以表示应用程序的整个上下文。我们还展示了如何将事务需求合并到单元概念依赖关系表中,并随后将单元概念依赖关系表转换为相应的概念模型。我们已经开发了一个增强转换网络(ATN)解析器,从自然语言描述中开发概念依赖关系图。使用Oracle8i和开发平台实现了一个原型系统。
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