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A system for the semiautomatic generation of E-R models from natural language specifications

机译:用于根据自然语言规范半自动生成E-R模型的系统

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Techniques that allow a program to generate E-R models for small application domains are described. The inputs to the program are natural language specifications. The program consists of two major components : a natural language understander and an E-R generator. The paper describes briefly the knowledge representation structures constructed by the natural language understander, and, then, explains the E-R generator in detail. The E-R generator consists of two kinds of rules' specific rules linked to the semantics of some words in the sentences, and generic rules that identify ER-entities and ER-relationships on the basis of the logical form of the sentence and on the basis of the ER--entities and ER--relationships under construction. The program has been tested on a set of database problems.
机译:描述了允许程序为小型应用程序域生成E-R模型的技术。程序的输入是自然语言规范。该程序由两个主要部分组成:自然语言理解者和E-R生成器。本文简要描述了自然语言理解者构造的知识表示结构,然后详细解释了E-R生成器。 ER生成器包括两种与句子中某些单词的语义相关联的特定于规则的规则,以及根据句子的逻辑形式和基于ER的关系来识别ER实体和ER关系的通用规则。正在建立的ER和实体之间的关系。该程序已针对一系列数据库问题进行了测试。

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