Acquisition of entity-relationship models from natural language specifications using heuristics

N Omar, P Hanna, P McKevitt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Downloads (Pure)

Abstract

This paper describes a heuristics-based approach in the semi-automated generation of Entity-Relationship (ER) diagrams for database modelling from natural language specifications and describes 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 90% recall and 85% precision. In terms of user intervention, ER-Converter requires very little human assistance with only 1.6% in the test dataset. 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.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationSelangor, Malaysia
PublisherUniversiti Tenaga Nasional
Pages1-7
Number of pages7
Publication statusPublished - Nov 2005
EventProc. of the 3rd International Conference on Information Technology and Multimedia (ICIMU-05) - Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia
Duration: 1 Nov 2005 → …

Conference

ConferenceProc. of the 3rd International Conference on Information Technology and Multimedia (ICIMU-05)
Period1/11/05 → …

Fingerprint Dive into the research topics of 'Acquisition of entity-relationship models from natural language specifications using heuristics'. Together they form a unique fingerprint.

Cite this