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

Mena Badieh Habib, B. Wanders, Jan Flokstra, Maurice van Keulen

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

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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 languageEnglish
Title of host publicationProceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015)
Place of PublicationUSA
PublisherIEEE Computer Society
Pages147-151
Number of pages5
ISBN (Print)978-1-4673-7581-8
DOIs
Publication statusPublished - Sep 2015

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Keywords

  • EWI-26003
  • METIS-312597
  • IR-96448

Cite this

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