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Authors: Farid Meziane and Sunil Vadera

Affiliation: School of Computing, Science and Engineering, Salford University, United Kingdom

Keyword(s): Software engineering, Entity relationship models, Specifications, Natural language processing.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Engineering

Abstract: Since their inception, entity relationship models have played a central role in systems specification, 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 specifications. This paper describes a semi-automatic approach for obtaining entity relationship models from natural language specifications. 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 identified 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.

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Paper citation in several formats:
Meziane, F. and Vadera, S. (2004). OBTAINING E-R DIAGRAMS SEMI-AUTOMATICALLY FROM NATURAL LANGUAGE SPECIFICATIONS. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 638-642. DOI: 10.5220/0002606106380642

@conference{iceis04,
author={Farid Meziane. and Sunil Vadera.},
title={OBTAINING E-R DIAGRAMS SEMI-AUTOMATICALLY FROM NATURAL LANGUAGE SPECIFICATIONS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2004},
pages={638-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002606106380642},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - OBTAINING E-R DIAGRAMS SEMI-AUTOMATICALLY FROM NATURAL LANGUAGE SPECIFICATIONS
SN - 972-8865-00-7
IS - 2184-4992
AU - Meziane, F.
AU - Vadera, S.
PY - 2004
SP - 638
EP - 642
DO - 10.5220/0002606106380642
PB - SciTePress

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