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dc.contributor.authorCamossi, Elena
dc.contributor.authorJousselme, Anne-Laure
dc.date.accessioned2019-06-18T12:31:14Z
dc.date.available2019-06-18T12:31:14Z
dc.date.issued2019/05
dc.identifier.govdocCMRE-PR-2019-036en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12489/777
dc.description.abstractTo support situation awareness, the benefit of using a variety of sources is undeniable although it brings additional challenges related to possible conflicting information, heterogeneity in data formats, semantics, uncertainty types, and information quality. Information and source quality are intertwined concepts which assessments connect with the evaluation of uncertainty handling in information fusion solutions. While the Uncertainty Representation Reasoning Evaluation Framework (URREF) ontology focuses on assessment criteria, peripheral concepts still play a critical role. In this paper, we propose an Information and Source Quality (ISQ) ontology formalising the relationships between information-related concepts, and discuss information interpretation in support of Maritime Situation Awareness. Specifically, this paper links the concepts of Information Source, Dataset and Piece of Information, and connects them to the corresponding quality concepts. Such concepts link to the upper level concepts of the URREF ontology Source (of information) and data Quality. The ontology further expands to the uncertainty modelling and the algorithm design. We conclude on future work and identify future avenues, especially the extension to the formalisation of the evaluation process.en_US
dc.format8 p. : ill. ; digital, PDF file
dc.language.isoenen_US
dc.publisherCMREen_US
dc.sourceIn: Proceedings of the 21st International Conference on Information Fusion (FUSION 2018), Cambridge 2018, pp. 696-703, doi: 10.23919/ICIF.2018.8455754en_US
dc.subjectMaritime situational awarenessen_US
dc.subjectUncertainty (Information theory)en_US
dc.subjectData managementen_US
dc.subjectData formatsen_US
dc.subjectData qualityen_US
dc.titleInformation and source quality ontology in support of maritime situational awarenessen_US
dc.typeReprint (PR)
dc.typePapers and Articles


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