01746nas a2200373   4500000000100000000000100001008004100002260001500043653002800058653002700086653002600113653002700139653003400166653002200200653002000222653001300242653001900255653002200274653001500296653001900311653001500330100001900345700001600364700001800380700001600398700001600414700002000430245007600450856011800526300001200644490000600656520068500662020002501347       2020                            d  bSciTePress10aArtificial intelligence10aDance Video Annotation10aHistoric preservation10aInconsistency Handling10aIntangible cultural heritages10aManual annotation10aMultiple source10aOntology10aOntology-based10aReliability level10aUser query10aVideo datasets10aVietnamese1 aSihem Belabbes1 aYacine Izza1 aNizar Mhadhbi1 aTri-Thuc Vo1 aKarim Tabia1 aSalem Benferhat00aAn Ontology-based Approach for Building and Querying ICH Video Datasets  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083261040&partnerID=40&md5=796a3d77d69b96f7406162d020da2e13  a497-5050 v13 aThe 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.  a9789897583957 (ISBN)