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Semantic analysis in the automation of ER 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 (2006) Semantic analysis in the automation of ER modelling through natural language processing. In: Proc. of the IEEE International Conference on Computing and Informatics (ICOCI-2006), Legend Hotel, Kuala Lumpur, Malaysia. IEEE Computer Society. 5 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5276559&tag=1

DOI: 10.1109/ICOCI.2006.5276559


This paper deals with the problem of extracting semantic knowledge in the production of ER models from natural language specifications. The application of semantic heuristics is proposed as the strategy to obtain the relevant ER elements such as entities, attributes and relationships from the specifications. Earlier research has shown that syntactic heuristics produced good results in identifying the relevant and correct results of the ER elements in terms of recall and precision. The inclusion of the semantic lexical knowledge is hoped to further improve the results. The semantic heuristics may later be implemented as part of a natural language tool in the generation of the ER models.

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:21258
Deposited By:Professor Paul McKevitt
Deposited On:05 Mar 2012 15:31
Last Modified:10 May 2013 10:19

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