Title

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

Authors

Authors

F. Gomez; C. Segami;C. Delaune

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

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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