SUDS: System for uncertainty decision support
| Autor: | Barry Nouwt, Michael van Bekkum, Maaike H. T. de Boer |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
TS - Technical Sciences
Decision support system Ontology Computer science business.industry Big data Uncertainty 020207 software engineering 02 engineering and technology Ontology (information science) Semantics Data science Data modeling DSC - Data Science Data visualization 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) 2016 ICT Decision-making business |
| Zdroj: | IEEE BigData 2017 IEEE International Conference on Big Data (BIGDATA) |
| DOI: | 10.1109/bigdata.2017.8258246 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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