Work

Heuristic-based entity-relationship modelling through natural language processing

Year: 2004

Type: conference-paper

Abstract: Here we propose new heuristics that assist the semi-automated generation of Entity-Relationship (ER) diagrams for database modelling from a natural language description and describe the implementation of such a system called ER-Converter. Though this is a semi-automatic transformation process, ER-Converter aims to require minimal human intervention during the process. ER-Converter has been evaluated in blind trials against a set of database problems. ER-Converter has an average of 95% recall and 82% precision. The evaluation results are discussed and demonstrate that ER-Converter could be used, for example, within the domain model of a multimedia intelligent tutoring system, designed to assist in the learning and teaching of databases.

Source: Ulster University Research Portal (Ulster University)

Authors: Nazlia Omar, J. R. Paul Hanna, Paul McKevitt

Language: English

Topic: Model-Driven Software Engineering Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2255864286

FWCI: 0.666

Cites: 11

Cited by: 34

Related to: 10