Abstract
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.
| 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 |
Keywords
- EWI-26003
- METIS-312597
- IR-96448
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Habib, M. B., Wanders, B., Flokstra, J., & van Keulen, M. (2015). Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning. In Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015) (pp. 147-151). USA: IEEE Computer Society. https://doi.org/10.1109/DEXA.2015.45