Handling imperfect spatiotemporal information from the conceptual modeling to database structures

Abstract

International audienceMany real world systems and applications require a management tool that provides support for dealing with imperfect data. The aim of this paper is to handle the imperfection of spatiotemporal data from the conceptual modeling to the database conception. We propose to add new pictograms in PERCEPTORY in order to build imperfect spatiotemporal class diagrams such as those made using Fuzzy UML. Using those models, we organize the database as a three layer organization: data layer, metadata layer, multivalued layer. Those interlinked layers give a more accurate interaction