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

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

doi:10.1109/DEXA.2015.45

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

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

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

40 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 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	https://doi.org/10.1109/DEXA.2015.45
Publication status	Published - Sep 2015
Event	5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015 - Valencia, Spain Duration: 1 Sep 2015 → 4 Sep 2015

Workshop

Workshop	5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015
Period	1/09/15 → 4/09/15
Other	1-4 September 2015

Keywords

EWI-26003
METIS-312597
IR-96448

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10.1109/DEXA.2015.45

paper

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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). IEEE Computer Society. https://doi.org/10.1109/DEXA.2015.45

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title = "Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning",

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.",

keywords = "EWI-26003, METIS-312597, IR-96448",

author = "Habib, {Mena Badieh} and B. Wanders and Jan Flokstra and {van Keulen}, Maurice",

year = "2015",

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note = "5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015 ; Conference date: 01-09-2015 Through 04-09-2015",

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Habib, MB, 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). IEEE Computer Society, USA, pp. 147-151, 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015, 1/09/15. https://doi.org/10.1109/DEXA.2015.45

Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning. / Habib, Mena Badieh; Wanders, B.; Flokstra, Jan ; van Keulen, Maurice.

Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015). USA : IEEE Computer Society, 2015. p. 147-151.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning

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AU - van Keulen, Maurice

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N2 - 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.

AB - 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.

KW - EWI-26003

KW - METIS-312597

KW - IR-96448

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BT - Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015)

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T2 - 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management, ISSASiM 2015

Y2 - 1 September 2015 through 4 September 2015

ER -

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

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Keywords

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