Logo des Repositoriums
 

Zur Identifikation von Strukturanalogien in Datenmodellen

dc.contributor.authorFettke, Peter
dc.contributor.authorLoos, Peter
dc.date.accessioned2018-01-16T08:53:01Z
dc.date.available2018-01-16T08:53:01Z
dc.date.issued2005
dc.description.abstractOn the one hand, data models decrease the complexity of information system development. On the other hand, data models causes additional complexity. Recently structural analogies are discussed as instruments reducing the complexity of data models. This piece of research presents a procedure to identify structural analogies in data models and demonstrates its performance by analyzing Scheer’s reference model for industrial enterprises (Y-CIM-model). The proposed procedure is based on formalizing data models within set theory and uses a quantitative similarity measure. The obtained results show both identical and very similar information structures within the Y-CIM-model. Furthermore, ways of dealing with the identified structural analogies are discussed from an analysis and software design perspective.
dc.identifier.pissn1861-8936
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/12455
dc.publisherSpringer
dc.relation.ispartofWirtschaftsinformatik: Vol. 47, No. 2
dc.relation.ispartofseriesWirtschaftsinformatik
dc.subjectConceptual Modeling
dc.subjectData Modeling
dc.subjectEntity-Relationship-Model
dc.subjectIndustry
dc.subjectInformation Modeling
dc.subjectIntegration
dc.subjectModeling
dc.subjectReference Model
dc.subjectSimilarity Measure
dc.subjectY-CIM-Model
dc.titleZur Identifikation von Strukturanalogien in Datenmodellen
dc.typeText/Journal Article
gi.citation.endPage100
gi.citation.startPage89

Dateien