Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning

M. B. Habib*, B. Wanders, J. Flokstra, M. van Keulen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


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 languageEnglish
Title of host publicationProceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain
Place of PublicationUSA
PublisherIEEE Computer Society
Number of pages5
Publication statusPublished - 1 Sept 2015
Externally publishedYes

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