relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3045/
title: AniAge Ontology for Movement Classification in Vietnamese Dance
creator: Abdelmoutia, Telli
creator: Ma, Thi Chau
creator: Mustapha, Bourahla
creator: Karim, Tabia
creator: Salem, Benferhat
subject: Information Technology (IT)
description: This paper proposes an OWL ontology called \AniAge", to  define taxonomy of dance movement classes and their relationships for the traditional Vietnamese dance taking into account the semantics of its art and its cultural anthropologists. The \AniAge" terminology can be used to describe elementary movements (poses) as a dataset ontology importing \AniAge". These poses are results of dance sequences segmentation (using segmentation techniques). The ontolgy \AniAge" is supported by classification rules, which are developed with the OWL complementary language SWRL (Semantic Web Rule Language) to entail movement phrases,  which are basic movements with complete meaning. The  dataset ontology containing poses descriptions can be queried using the query language SQWRL (Semantic Query Webenhanced Rule Language), which is extension of SWRL to  retrieve implicit dance knowledge. Then, the query answers  can be used for computer animation.
date: 2018-07
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3045/1/Dance.pdf
identifier:   Abdelmoutia, Telli and Ma, Thi Chau and Mustapha, Bourahla and Karim, Tabia and Salem, Benferhat  (2018) AniAge Ontology for Movement Classification in Vietnamese Dance.  In: The International Conference on Pattern Recognition and Artificial Intelligence, May 2018, Montréal, Canada.