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https://hdl.handle.net/1822/66988
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Tomé, Paulo | por |
dc.contributor.author | Costa, Ernesto | por |
dc.contributor.author | Amaral, Luis | por |
dc.date.accessioned | 2020-09-16T15:21:32Z | - |
dc.date.available | 2020-09-16T15:21:32Z | - |
dc.date.issued | 2007 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | https://hdl.handle.net/1822/66988 | - |
dc.description.abstract | 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. | por |
dc.description.sponsorship | - (undefined) | por |
dc.language.iso | eng | por |
dc.rights | openAccess | por |
dc.subject | Case-Base Reasoning | por |
dc.subject | Data Modelling | por |
dc.subject | Information Systems Development | por |
dc.subject | Modelling process | por |
dc.title | Improving data modelling through the use of case-based-reasoning | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 52 | por |
oaire.citationEndPage | 60 | por |
oaire.citationVolume | 365 | por |
dc.date.updated | 2020-08-15T01:04:59Z | - |
sdum.export.identifier | 5920 | - |
sdum.journal | CEUR Workshop Proceedings | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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Pub 05 104.pdf | 114,53 kB | Adobe PDF | Ver/Abrir |