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

3 Citations (Scopus)

21 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

Fingerprint

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

@inproceedings{c3ab10e2f7c34d969790b1d4ba2a8385,

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",

month = "9",

doi = "10.1109/DEXA.2015.45",

language = "English",

isbn = "978-1-4673-7581-8",

pages = "147--151",

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

publisher = "IEEE Computer Society",

address = "United States",

}

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

TY - GEN

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

AU - Habib, Mena Badieh

AU - Wanders, B.

AU - Flokstra, Jan

AU - van Keulen, Maurice

PY - 2015/9

Y1 - 2015/9

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

U2 - 10.1109/DEXA.2015.45

DO - 10.1109/DEXA.2015.45

M3 - Conference contribution

SN - 978-1-4673-7581-8

SP - 147

EP - 151

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

PB - IEEE Computer Society

CY - USA

ER -

Access to Document

10.1109/DEXA.2015.45

paper
open