Meziane, F and Vadera, S 2004, Obtaining E-R diagrams semi-automatically from natural language specifications , in: Sixth International Conference on Enterprise Information Systems (ICEIS 2004), 14-17 April 2004, Universidade Portucalense, Porto, Portugal.
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Since their inception, entity relationship models have played a central role in systems speci�cation, analysis and development. They have become an important part of several development methodologies and standards such as SSADM. Obtaining entity relationship models, can however, be a lengthy and time consuming task for all but the very smallest of speci�cations. This paper describes a semi-automatic approach for obtaining entity relationship models from natural language speci�cations. The approach begins by using natural language analysis techniques to translate sentences to a meaning representation language called logical form language. The logical forms of the sentences are used as a basis for identifying the entities and relationships. Heuristics are then used to suggest suitable degrees for the identi�ed relationships. This paper describes and illustrates the main phases of the approach and presents a summary of the results obtained when it is applied to a case study.
|Item Type:||Conference or Workshop Item (Poster)|
|Additional Information:||In volume 1 of conference proceedings ('Databases and information systems integration')|
|Uncontrolled Keywords:||Software engineering, entity relationship models, specifcations, natural language processing|
|Themes:||Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects outside of the University Themes
|Schools:||Schools > School of Computing, Science and Engineering
Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
|Depositing User:||Prof Farid Meziane|
|Date Deposited:||02 Mar 2009 14:58|
|Last Modified:||01 Dec 2015 00:02|
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