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Authors: Sihem Belabbes 1 ; Yacine Izza 1 ; Nizar Mhadhbi 1 ; Tri-Thuc Vo 2 ; Karim Tabia 1 and Salem Benferhat 1

Affiliations: 1 CRIL, Université d’Artois & CNRS, Lens, France ; 2 CICT, Can Tho University, Vietnam

Keyword(s): Ontology, Dance Video Annotation, Inconsistency Handling.

Abstract: The diversity of Southeast Asian Intangible Cultural Heritage (ICH) is showcased in many art forms and notably in traditional dances. We focus on the preservation of Vietnamese ICH by building an ontology for Tamia đwa buk dances. We propose a completion of the ontology by semantically enriching traditional dance videos through manual annotation. Once annotated video datasets are built, we propose strategies for processing user queries. In particular, we address inconsistencies which emerge when the same video receives conflicting annotations from multiple sources. We also take into account different reliability levels of the sources in order to prioritize query answers.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Belabbes, S., Izza, Y., Mhadhbi, N., Vo, T.-T., Tabia, K. and Benferhat, S. (2020). An Ontology-based Approach for Building and Querying ICH Video Datasets. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH; ISBN 978-989-758-395-7; ISSN 2184-433X, SciTePress, pages 497-505. DOI: 10.5220/0009176804970505

@conference{artidigh20,
author={Sihem Belabbes and Yacine Izza and Nizar Mhadhbi and Tri{-}Thuc Vo and Karim Tabia and Salem Benferhat},
title={An Ontology-based Approach for Building and Querying ICH Video Datasets},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH},
year={2020},
pages={497-505},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009176804970505},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH
TI - An Ontology-based Approach for Building and Querying ICH Video Datasets
SN - 978-989-758-395-7
IS - 2184-433X
AU - Belabbes, S.
AU - Izza, Y.
AU - Mhadhbi, N.
AU - Vo, T.
AU - Tabia, K.
AU - Benferhat, S.
PY - 2020
SP - 497
EP - 505
DO - 10.5220/0009176804970505
PB - SciTePress

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