On Top-K Queries Over Evidential Data

Fatma Ezzahra Bousnina, Mouna Chebbah, Mohamed Anis Bach Tobji, Allel Hadjali, Boutheina Ben Yaghlane

Abstract

Uncertain data are obvious in a lot of domains such as sensor networks, multimedia, social media, etc. Top-k queries provide ordered results according to a defined score. This kind of queries represents an important tool for exploring uncertain data. Most of works cope with certain data and with probabilistic top-k queries. However, at the best of our knowledge there is no work that exploits the Top-k semantics in the Evidence Theory context. In this paper, we introduce a new score function suitable for Evidential Data. Since the result of the score function is an interval, we adopt a comparison method for ranking intervals. Finally we extend the usual semantics/interpretations of top-k queries to the evidential scenario.

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Paper Citation


in Harvard Style

Bousnina F., Chebbah M., Bach Tobji M., Hadjali A. and Ben Yaghlane B. (2017). On Top-K Queries Over Evidential Data . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 106-113. DOI: 10.5220/0006317701060113


in Bibtex Style

@conference{iceis17,
author={Fatma Ezzahra Bousnina and Mouna Chebbah and Mohamed Anis Bach Tobji and Allel Hadjali and Boutheina Ben Yaghlane},
title={On Top-K Queries Over Evidential Data},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={106-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006317701060113},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - On Top-K Queries Over Evidential Data
SN - 978-989-758-247-9
AU - Bousnina F.
AU - Chebbah M.
AU - Bach Tobji M.
AU - Hadjali A.
AU - Ben Yaghlane B.
PY - 2017
SP - 106
EP - 113
DO - 10.5220/0006317701060113