An Ontology-based Approach for Building and Querying ICH Video Datasets

Sihem Belabbes, Yacine Izza, Nizar Mhadhbi, Tri-Thuc Vo, Karim Tabia, Salem Benferhat

2020

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.

Paper Citation

in Harvard Style

Belabbes S., Izza Y., Mhadhbi N., Vo 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, pages 497-505. DOI: 10.5220/0009176804970505

in Bibtex Style

@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},
}

in EndNote Style

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
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