Semantic Decision Support for Information Fusion Applications
Identifieur interne : 000389 ( France/Analysis ); précédent : 000388; suivant : 000390Semantic Decision Support for Information Fusion Applications
Auteurs : Amandine Bellenger [France]Source :
Descripteurs français
- mix :
- Wicri :
- topic : Ontologie.
English descriptors
- mix :
Abstract
This thesis is part of the knowledge representation domain and modeling of uncertainty in a context of information fusion. The main idea is to use semantic tools and more specifically ontologies, not only to represent the general domain knowledge and observations, but also to represent the uncertainty that sources may introduce in their own observations. We propose to represent these uncertainties and semantic imprecision trough a metaontology (called DS-Ontology) based on the theory of belief functions. The contribution of this work focuses first on the definition of semantic inclusion and intersection operators for ontologies and on which relies the implementation of the theory of belief functions, and secondly on the development of a tool called FusionLab for merging semantic information within ontologies from the previous theorical development. These works have been applied within a European maritime surveillance project.
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Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000289
- to stream Hal, to step Curation: 000289
- to stream Hal, to step Checkpoint: 000225
- to stream Main, to step Merge: 000417
- to stream Main, to step Curation: 000414
- to stream Main, to step Exploration: 000414
- to stream France, to step Extraction: 000389
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Hal:tel-00845918Le document en format XML
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