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.
Original language | English |
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Title of host publication | Unknown Host Publication |
Editors | L McGinty, B Crean |
Place of Publication | Dublin, Ireland |
Publisher | Artificial Intelligence Association of Ireland |
Pages | 302-313 |
Number of pages | 12 |
ISBN (Print) | 1-902277-89-9 |
Publication status | Published (in print/issue) - Sept 2004 |
Event | Proc. of the 15th Artificial Intelligence and Cognitive Science Conference (AICS-04) - Galway-Mayo Institute of Technology (GMIT), Castlebar, Ireland Duration: 1 Sept 2004 → … |
Conference
Conference | Proc. of the 15th Artificial Intelligence and Cognitive Science Conference (AICS-04) |
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Period | 1/09/04 → … |