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

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Omar, N, Hanna, P and McKevitt, P (2005) Acquisition of entity-relationship models from natural language specifications using heuristics. In: Proc. of the 3rd International Conference on Information Technology and Multimedia (ICIMU-05), Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia. Universiti Tenga National (UNITEN). 7 pp. [Conference contribution]

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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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Arts
Faculty of Computing & Engineering
Faculty of Arts > School of Creative Arts and Technologies
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
ID Code:21406
Deposited By:Professor Paul McKevitt
Deposited On:10 May 2012 13:31
Last Modified:10 May 2012 13:31

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