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[AGH19a] A Typology of Temporal Data Imperfection

Conférence Internationale avec comité de lecture : The 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD 2017), September 2019, pp.6, Vienna, Austria,
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Résumé: Temporal data may be subject to several types of imperfection (e.g., uncertainty, imprecision..). In this context, several typologies of data imperfections have been already proposed. However, these typologies can not be applied to temporal data because of the complexity of this type of data and the specificity that it contains. Besides, to the best of our knowledge, there is no typology of temporal data imperfections. In this paper, we propose a typology of temporal data imperfections. Our typology is divided into direct imperfections of both numeric temporal data and natural language based temporal data, indirect imperfections that can be deduced from the direct ones and granularity (i.e., context dependent temporal data) which is related to several factors that can interfer in specifying the imperfection type such as person’s profile and multiculturalism. We finish by representing an example of imprecise temporal data in PersonLink ontology.

BibTeX

@inproceedings {
AGH19a,
title="{A Typology of Temporal Data Imperfection}",
author=" N. Achich and F. Ghorbel and F. Hamdi and E. Metais and F. Gargouri ",
booktitle="{The 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD 2017)}",
year=2019,
month="September",
pages="6",
address="Vienna, Austria",
}