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dc.contributor.authorTansel, Abdullah Uzen_US
dc.contributor.editorRivero, L. C.
dc.contributor.editorDoorn, J. H.
dc.contributor.editorFerraggine, V. E.
dc.date.accessioned2018-04-12T13:39:07Z
dc.date.available2018-04-12T13:39:07Z
dc.date.issued2005en_US
dc.identifier.isbn9781591405603
dc.identifier.urihttp://hdl.handle.net/11693/37847
dc.description.abstractThe paper discusses modelling temporal variation of data in the context of the relational data model. This is done by employing time-stamps, which leads to two possible approaches: adding time-stamps to tuples and using first normal-form (1NF) relations, and adding time-stamps to attributes and using non-first normal form (NINF) relations. Modelling temporal data according to each approach with their respective data-manipulation operations are covered. This is followed by a discussion that includes the advantages and expressive power of each approach, the classification of temporal databases, and the handling of retroactive and postactive changes.en_US
dc.language.isoEnglishen_US
dc.relation.ispartofEncyclopedia of database technologies and applications
dc.relation.isversionofhttps://doi.org/10.4018/978-1-59140-560-3.ch063en_US
dc.subjectDatabasesen_US
dc.subjectTemporal dataen_US
dc.subjectModellingrelational data modelen_US
dc.subjectRelational data modelen_US
dc.titleModeling and querying temporal dataen_US
dc.typeBook Chapteren_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage373en_US
dc.citation.epage377en_US
dc.identifier.doi10.4018/978-1-59140-560-3.ch063en_US
dc.publisherIGI Globalen_US
dc.identifier.eisbn9781591407959


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