Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BigData.2017.8258246 | 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | DocType | ISSN |
big data, uncertainty, semantics, ontology | Conference | 2639-1589 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maaike de Boer | 1 | 26 | 4.25 |
| Barry Nouwt | 2 | 0 | 0.34 |
| Michael Van Bekkum | 3 | 0 | 0.34 |