Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015) |
| Place of Publication | USA |
| Publisher | IEEE Computer Society |
| Pages | 147-151 |
| Number of pages | 5 |
| ISBN (Print) | 978-1-4673-7581-8 |
| DOIs | |
| Publication status | Published - Sep 2015 |
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Keywords
- EWI-26003
- METIS-312597
- IR-96448
Cite this
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Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning. / Habib, Mena Badieh; Wanders, B.; Flokstra, Jan; van Keulen, Maurice.
Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015). USA : IEEE Computer Society, 2015. p. 147-151.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning
AU - Habib, Mena Badieh
AU - Wanders, B.
AU - Flokstra, Jan
AU - van Keulen, Maurice
PY - 2015/9
Y1 - 2015/9
N2 - Semantic incompatibility is a conflict that occurs in the meanings of data. In this paper, we propose an approach for data cleaning by resolving semantic incompatibility. Our approach applies a dynamic and incremental enhancement of data quality. It checks the coherency/conflict of the newly recorded facts/relations against the existing ones. It reasons over the existing information and comes up with new discovered facts/relations. We choose maritime data cleaning as a validation scenario.
AB - Semantic incompatibility is a conflict that occurs in the meanings of data. In this paper, we propose an approach for data cleaning by resolving semantic incompatibility. Our approach applies a dynamic and incremental enhancement of data quality. It checks the coherency/conflict of the newly recorded facts/relations against the existing ones. It reasons over the existing information and comes up with new discovered facts/relations. We choose maritime data cleaning as a validation scenario.
KW - EWI-26003
KW - METIS-312597
KW - IR-96448
U2 - 10.1109/DEXA.2015.45
DO - 10.1109/DEXA.2015.45
M3 - Conference contribution
SN - 978-1-4673-7581-8
SP - 147
EP - 151
BT - Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015)
PB - IEEE Computer Society
CY - USA
ER -