SUDS: System for Uncertainty Decision Support
de Boer, M.
van Bekkum, M.
Big Data Applications (BDAs) are used to support a decision making process, but their developers and users are often unaware of the exact uncertainties that underlie the output of BDAs. In this paper we present a System for Uncertainty Decision Support (SUDS) as a generic plug-in for BDAs that aims to give both developers and users more insight in the location, types and propagation of uncertainties within a BDA. To achieve this, SUDS receives uncertainty information directly from the BDA and provides a separate front-end where the uncertainties can be explored and queried. SUDS combines state of the art methods in knowledge modelling, natural language processing and big data architectures. Keywords-big data, uncertainty, semantics, ontology.
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DSC - Data Science
TS - Technical Sciences
2017 IEEE International Conference on Big Data (BIGDATA)