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A relational model for the possibilistic valid-time approach

Jose Enrique Pons, Nicolas Marin, Olga Pons, Christophe Billiet UGent and Guy De Tré UGent (2012) INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. 5(6). p.1068-1088
abstract
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
INTERVALS, TEMPORAL KNOWLEDGE, DATABASES, fuzzy, temporal, database
journal title
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
volume
5
issue
6
pages
1068 - 1088
Web of Science type
Article
Web of Science id
000311119400007
ISSN
1875-6883
DOI
10.1080/18756891.2012.747662
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3051015
handle
http://hdl.handle.net/1854/LU-3051015
date created
2012-11-12 13:13:48
date last changed
2016-12-19 15:43:35
@article{3051015,
  abstract     = {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.},
  author       = {Pons, Jose Enrique and Marin, Nicolas and Pons, Olga and Billiet, Christophe and De Tr{\'e}, Guy},
  issn         = {1875-6883},
  journal      = {INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS},
  keyword      = {INTERVALS,TEMPORAL KNOWLEDGE,DATABASES,fuzzy,temporal,database},
  language     = {eng},
  number       = {6},
  pages        = {1068--1088},
  title        = {A relational model for the possibilistic valid-time approach},
  url          = {http://dx.doi.org/10.1080/18756891.2012.747662},
  volume       = {5},
  year         = {2012},
}

Chicago
Pons, Jose Enrique, Nicolas Marin, Olga Pons, Christophe Billiet, and Guy De Tré. 2012. “A Relational Model for the Possibilistic Valid-time Approach.” International Journal of Computational Intelligence Systems 5 (6): 1068–1088.
APA
Pons, Jose Enrique, Marin, N., Pons, O., Billiet, C., & De Tré, G. (2012). A relational model for the possibilistic valid-time approach. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 5(6), 1068–1088.
Vancouver
1.
Pons JE, Marin N, Pons O, Billiet C, De Tré G. A relational model for the possibilistic valid-time approach. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. 2012;5(6):1068–88.
MLA
Pons, Jose Enrique, Nicolas Marin, Olga Pons, et al. “A Relational Model for the Possibilistic Valid-time Approach.” INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 5.6 (2012): 1068–1088. Print.