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Heuristic-based entity-relationship modelling through natural language processing

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

Omar, N, Hanna, JRP and McKevitt, P (2004) Heuristic-based entity-relationship modelling through natural language processing. In: Proc. of the 15th Artificial Intelligence and Cognitive Science Conference (AICS-04) , Galway-Mayo Institute of Technology (GMIT), Castlebar, Ireland. Artificial Intelligence Association of Ireland (AIAI). 12 pp. [Conference contribution]

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URL: http://www.4c.ucc.ie/aiai/

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.

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
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:8173
Deposited By:Professor Paul McKevitt
Deposited On:05 Mar 2012 12:35
Last Modified:10 May 2013 10:20

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