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

Mena Badieh Habib, Brend Wanders, Jan Flokstra, Maurice van Keulen

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

3 Citations (Scopus)
92 Downloads (Pure)

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
Pages147-151
Number of pages5
ISBN (Electronic)978-1-4673-7582-5
ISBN (Print)978-1-4673-7581-8
DOIs
Publication statusPublished - Sept 2015
Event5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015 - Valencia, Spain
Duration: 1 Sept 20154 Sept 2015

Publication series

NameInternational Workshop on Database and Expert Systems Applications (DEXA)
PublisherIEEE
Volume2015
ISSN (Print)1529-4188
ISSN (Electronic)2378-3915

Workshop

Workshop5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015
Period1/09/154/09/15
Other1-4 September 2015

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