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

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dc.contributor.authorTomé, Paulopor
dc.contributor.authorCosta, Ernestopor
dc.contributor.authorAmaral, Luispor
dc.date.accessioned2020-09-16T15:21:32Z-
dc.date.available2020-09-16T15:21:32Z-
dc.date.issued2007-
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/1822/66988-
dc.description.abstractExperience 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.por
dc.description.sponsorship- (undefined)por
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectCase-Base Reasoningpor
dc.subjectData Modellingpor
dc.subjectInformation Systems Developmentpor
dc.subjectModelling processpor
dc.titleImproving data modelling through the use of case-based-reasoningpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
oaire.citationStartPage52por
oaire.citationEndPage60por
oaire.citationVolume365por
dc.date.updated2020-08-15T01:04:59Z-
sdum.export.identifier5920-
sdum.journalCEUR Workshop Proceedingspor
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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