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

    Authors

    F. Gomez; C. Segami;C. Delaune

    Comments

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    Abbreviated Journal Title

    Data Knowl. Eng.

    Keywords

    automated logical database design; natural language; rule-based system; Computer Science, Artificial Intelligence; Computer Science, Information; Systems

    Abstract

    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. (C) 1999 Elsevier Science B.V. All rights reserved.

    Journal Title

    Data & Knowledge Engineering

    Volume

    29

    Issue/Number

    1

    Publication Date

    1-1-1999

    Document Type

    Article

    Language

    English

    First Page

    57

    Last Page

    81

    WOS Identifier

    WOS:000078001400004

    ISSN

    0169-023X

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