A relational model for the possibilistic valid-time approach
In real world, it is very common that some objects or concepts have properties with a time-variant or time-related nature. Modelling this kind of objects or concepts in a (relational) database schema is possible, but time-variant and time-related attributes have an impact on the consistency of the e...
Published in: | International Journal of Computational Intelligence Systems |
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ftunivgent:oai:archive.ugent.be:3051015 2023-10-01T03:55:40+02:00 A relational model for the possibilistic valid-time approach Pons, Jose Enrique Marin, Nicolas Pons, Olga Billiet, Christophe De Tré, Guy 2012 application/pdf https://biblio.ugent.be/publication/3051015 http://hdl.handle.net/1854/LU-3051015 https://doi.org/10.1080/18756891.2012.747662 https://biblio.ugent.be/publication/3051015/file/3051020 eng eng https://biblio.ugent.be/publication/3051015 http://hdl.handle.net/1854/LU-3051015 http://dx.doi.org/10.1080/18756891.2012.747662 https://biblio.ugent.be/publication/3051015/file/3051020 No license (in copyright) info:eu-repo/semantics/restrictedAccess INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS ISSN: 1875-6883 Technology and Engineering INTERVALS TEMPORAL KNOWLEDGE DATABASES fuzzy temporal database journalArticle info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2012 ftunivgent https://doi.org/10.1080/18756891.2012.747662 2023-09-06T22:33:13Z In real world, it is very common that some objects or concepts have properties with a time-variant or time-related nature. Modelling this kind of objects or concepts in a (relational) database schema is possible, but time-variant and time-related attributes have an impact on the consistency of the entire database and must be appropriately managed. Therefore, temporal database models have been proposed to deal with this problem in the literature. Time can be affected by imprecision, vagueness and / or uncertainty, since existing time measuring devices are inherently imperfect. Additionally, human beings manage time using temporal indications and temporal notions, which may also be imprecise. However, the imperfection in human-used temporal indications is supported by human interpretation, whereas information systems need appropriate support in order to accomplish this task. Several proposals for dealing with such imperfections when modelling temporal data exist. Some of these proposals transform the temporal data into a compact representation but there is not a formal model for managing and handling uncertainty regarding temporal information. In this work we present a novel model to deal with imprecision in valid-time databases together with the definition and implementation of the data manipulation language, DML. Article in Journal/Newspaper DML Ghent University Academic Bibliography International Journal of Computational Intelligence Systems 5 6 1068 1088 |
institution |
Open Polar |
collection |
Ghent University Academic Bibliography |
op_collection_id |
ftunivgent |
language |
English |
topic |
Technology and Engineering INTERVALS TEMPORAL KNOWLEDGE DATABASES fuzzy temporal database |
spellingShingle |
Technology and Engineering INTERVALS TEMPORAL KNOWLEDGE DATABASES fuzzy temporal database Pons, Jose Enrique Marin, Nicolas Pons, Olga Billiet, Christophe De Tré, Guy A relational model for the possibilistic valid-time approach |
topic_facet |
Technology and Engineering INTERVALS TEMPORAL KNOWLEDGE DATABASES fuzzy temporal database |
description |
In real world, it is very common that some objects or concepts have properties with a time-variant or time-related nature. Modelling this kind of objects or concepts in a (relational) database schema is possible, but time-variant and time-related attributes have an impact on the consistency of the entire database and must be appropriately managed. Therefore, temporal database models have been proposed to deal with this problem in the literature. Time can be affected by imprecision, vagueness and / or uncertainty, since existing time measuring devices are inherently imperfect. Additionally, human beings manage time using temporal indications and temporal notions, which may also be imprecise. However, the imperfection in human-used temporal indications is supported by human interpretation, whereas information systems need appropriate support in order to accomplish this task. Several proposals for dealing with such imperfections when modelling temporal data exist. Some of these proposals transform the temporal data into a compact representation but there is not a formal model for managing and handling uncertainty regarding temporal information. In this work we present a novel model to deal with imprecision in valid-time databases together with the definition and implementation of the data manipulation language, DML. |
format |
Article in Journal/Newspaper |
author |
Pons, Jose Enrique Marin, Nicolas Pons, Olga Billiet, Christophe De Tré, Guy |
author_facet |
Pons, Jose Enrique Marin, Nicolas Pons, Olga Billiet, Christophe De Tré, Guy |
author_sort |
Pons, Jose Enrique |
title |
A relational model for the possibilistic valid-time approach |
title_short |
A relational model for the possibilistic valid-time approach |
title_full |
A relational model for the possibilistic valid-time approach |
title_fullStr |
A relational model for the possibilistic valid-time approach |
title_full_unstemmed |
A relational model for the possibilistic valid-time approach |
title_sort |
relational model for the possibilistic valid-time approach |
publishDate |
2012 |
url |
https://biblio.ugent.be/publication/3051015 http://hdl.handle.net/1854/LU-3051015 https://doi.org/10.1080/18756891.2012.747662 https://biblio.ugent.be/publication/3051015/file/3051020 |
genre |
DML |
genre_facet |
DML |
op_source |
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS ISSN: 1875-6883 |
op_relation |
https://biblio.ugent.be/publication/3051015 http://hdl.handle.net/1854/LU-3051015 http://dx.doi.org/10.1080/18756891.2012.747662 https://biblio.ugent.be/publication/3051015/file/3051020 |
op_rights |
No license (in copyright) info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1080/18756891.2012.747662 |
container_title |
International Journal of Computational Intelligence Systems |
container_volume |
5 |
container_issue |
6 |
container_start_page |
1068 |
op_container_end_page |
1088 |
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1778524289161494528 |