Data Uncertainty: Models and Semantics
From 02/12/2014 at 14:00 to 15:30. Salle C1, Bâtiment Nautibus, Université Lyon I
URL : https://liris.cnrs.fr/seminaire/seminaires-mensuels/seminaires-mensuels
Informations contact : G. Damiand. firstname.lastname@example.org. +33 (0)18.104.22.168.34.
Uncertainty is one major aspect of imperfection of data. At least three causes of this imperfection can be distinguished: (i) variability of phenomena which prevents to predicate their behavior, (ii) lack of information, (iii) conflicting/evolving information. Several models to represent uncertainty exist in the literature. It is well known that each model is insufficient to handle all facets of uncertainty. Some models are more general than others, some are more fitted to a given situation than others, some are more mature than others, some have interpretations better fitted to a particular situation or problem, some dispose of more convenient tools than others. In this talk, the aim is not to show "which is the best model" but rather "when, where, why and how each model should be used?" Illustrations borrowing from Database field are provided.
Public visé :
Séminaire interne du pôle 3S mais ouvert à tous.