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

M. B. Habib; B. Wanders; J. Flokstra; M. van Keulen

doi:10.1109/DEXA.2015.45

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 proceeding › Conference article in proceeding › Academic › peer-review

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), Valencia, Spain
Place of Publication	USA
Publisher	IEEE Computer Society
Pages	147-151
Number of pages	5
DOIs	https://doi.org/10.1109/DEXA.2015.45
Publication status	Published - 1 Sept 2015
Externally published	Yes

Access to Document

10.1109/DEXA.2015.45

Cite this

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. https://doi.org/10.1109/DEXA.2015.45

@inproceedings{f78b591babe94656ad8f57b6c2d44121,

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.",

author = "Habib, {M. B.} and B. Wanders and J. Flokstra and Keulen, {M. van}",

note = "http://eprints.eemcs.utwente.nl/26003/",

year = "2015",

month = sep,

day = "1",

doi = "10.1109/DEXA.2015.45",

language = "English",

pages = "147--151",

booktitle = "Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain",

publisher = "IEEE Computer Society",

address = "United States",

}

Habib, MB, Wanders, B, Flokstra, J & Keulen, MV 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. IEEE Computer Society, USA, pp. 147-151. https://doi.org/10.1109/DEXA.2015.45

Incremental data uncertainty handling using evidence combination: a case study on maritime data reasoning. / Habib, M. B.; Wanders, B.; Flokstra, J. et al.
Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain. USA: IEEE Computer Society, 2015. p. 147-151.

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

TY - GEN

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

AU - Habib, M. B.

AU - Wanders, B.

AU - Flokstra, J.

AU - Keulen, M. van

N1 - http://eprints.eemcs.utwente.nl/26003/

PY - 2015/9/1

Y1 - 2015/9/1

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.

U2 - 10.1109/DEXA.2015.45

DO - 10.1109/DEXA.2015.45

M3 - Conference article in proceeding

SP - 147

EP - 151

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

PB - IEEE Computer Society

CY - USA

ER -