Title

A System For The Semiautomatic Generation Of E-R Models From Natural Language Specifications

Keywords

Automated logical database design; Natural language; Rule-based system

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. © 1999 Elsevier Science B.V. All rights reserved.

Publication Date

1-1-1999

Publication Title

Data and Knowledge Engineering

Volume

29

Issue

1

Number of Pages

57-81

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/S0169-023X(98)00032-9

Socpus ID

0032762581 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0032762581

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