TY - CPAPER
KW - Artificial intelligence
KW - Dance Video Annotation
KW - Historic preservation
KW - Inconsistency Handling
KW - Intangible cultural heritages
KW - Manual annotation
KW - Multiple source
KW - Ontology
KW - Ontology-based
KW - Reliability level
KW - User query
KW - Video datasets
KW - Vietnamese
AU - Sihem Belabbes
AU - Yacine Izza
AU - Nizar Mhadhbi
AU - Tri-Thuc Vo
AU - Karim Tabia
AU - Salem Benferhat
AB - 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.
C2 - ICAART - Proc. Int. Conf. Agents Artif. Intell.
DO - 10.5220/0009176804970505
LA - English
N1 - Journal Abbreviation: ICAART - Proc. Int. Conf. Agents Artif. Intell.
N2 - 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.
PB - SciTePress
PY - 2020
SN - 9789897583957 (ISBN)
SP - 497
EP - 505
TI - An Ontology-based Approach for Building and Querying ICH Video Datasets
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083261040&partnerID=40&md5=796a3d77d69b96f7406162d020da2e13
VL - 1
ER -