@inproceedings{4870,
  keywords = {Artificial intelligence, Dance Video Annotation, Historic preservation, Inconsistency Handling, Intangible cultural heritages, Manual annotation, Multiple source, Ontology, Ontology-based, Reliability level, User query, Video datasets, Vietnamese},
  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},
  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.},
  year = {2020},
  booktitle = {ICAART - Proc. Int. Conf. Agents Artif. Intell.},
  volume = {1},
  pages = {497-505},
  publisher = {SciTePress},
  school = {SciTePress},
  isbn = {9789897583957 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083261040&partnerID=40&md5=796a3d77d69b96f7406162d020da2e13},
  doi = {10.5220/0009176804970505},
  note = {Journal Abbreviation: ICAART - Proc. Int. Conf. Agents Artif. Intell.},
  language = {English},
}