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.
|Title of host publication||Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain|
|Place of Publication||USA|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|Publication status||Published - 1 Sep 2015|
Habib, M. B., Wanders, B., Flokstra, J., & Keulen, M. V. (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), Valencia, Spain (pp. 147-151). IEEE Computer Society.