Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/66988

TitleImproving data modelling through the use of case-based-reasoning
Author(s)Tomé, Paulo
Costa, Ernesto
Amaral, Luis
KeywordsCase-Base Reasoning
Data Modelling
Information Systems Development
Modelling process
Issue date2007
JournalCEUR Workshop Proceedings
Abstract(s)Experience plays an important role in Information Systems data modelling activity. This role is justified by the fact that determining the correct and consistent information requirements is a difficult and a challenging task. Currently three types of data modelling techniques are widely used: entity-attribute-relationship, object-relationship and object-oriented. There is not a consensus about which one is the best. This article proposes a framework, supported by a software tool, that uses Case-Based-Reasoning (CBR) methodology to represent and use experience in the data modelling task. The proposed framework does not depend on the data modelling technique nor on the modelling tool.
TypeConference paper
URIhttp://hdl.handle.net/1822/66988
ISSN1613-0073
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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