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Authors: Fatma Ezzahra Bousnina 1 ; Mouna Chebbah 2 ; Mohamed Anis Bach Tobji 3 ; Allel Hadjali 4 and Boutheina Ben Yaghlane 5

Affiliations: 1 Université de Tunis, Institut Supérieur de Gestion and LARODEC, Tunisia ; 2 Université de Tunis, Institut Supérieur de Gestion, LARODEC, Université de Jendouba, Faculté des Sciences Juridiques and Economiques et de Gestion de Jendouba, Tunisia ; 3 Université de Tunis, Institut Supérieur de Gestion, LARODEC, Univ. Manouba and ESEN, Tunisia ; 4 Université de Poitiers, Ecole Nationale Supérieure de Mécanique et de l'Aérotechnique and LIAS, France ; 5 Université de Tunis, Institut Supérieur de Gestion, LARODEC, Université de Carthage and Institut des Hautes Etudes Commerciales, Tunisia

ISBN: 978-989-758-247-9

Keyword(s): Evidence Theory ; Evidential Databases; Top-K Queries; Ranking Intervals; Score function.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Query Languages and Query Processing

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 several formats:
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

@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},
}

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

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