A Relational Model for the Possibilistic Valid-time Approach
Metadatos
Afficher la notice complèteEditorial
Atlantis
Materia
Fuzzy Temporal Database Inteligencia artificial Artificial intelligence
Date
2012-11-01Referencia bibliográfica
Pons, J. E... [et al.] (2012). A relational model for the possibilistic valid-time approach. International Journal of Computational Intelligence Systems, 5(6), 1068-1088. DOI: [https://doi.org/10.1080/18756891.2012.747662]
Patrocinador
Junta de Andalucia P07-TIC-03175 BES-2009-013805 TIN2008-02066Résumé
In real world, it is very common that some objects or concepts have properties with a time-variant or timerelated
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.