TY  - CHAP
ID  - SisLab3524
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3524/
A1  - Bourahla, Mustapha
A1  - Telli, Abdelmoutia
A1  - Benferhat, Salem
A1  - Ma, Thi Chau
Y1  - 2019///
N2  - This paper proposes a method to classify non-elementary movements in Vietnamese dances. This classification method uses an OWL ontology called VDM (Vietnamese Dance Movements) recently developed by the authors. The VDM defines a taxonomy of dance move- ment classes and their relationships for the traditional Vietnamese dances taking into account the semantics of its art and its cultural anthropol- ogists. The VDM terminology describes elementary movements (poses) as a dataset ontology importing the ontology VDM. These poses are results of dance sequences segmentation (using segmentation techniques). In this paper, we support the initial ontology VDM by complex classification rules written with SWRL (Semantic Web Rule Language, which is the OWL complementary language) to classify non-elementary movements. The objective is to entail classes of movement phrases, which are non-elementary basic movements with complete meaning and illustrated using M ?o dances. The classification result is the initial dataset VDM ontology augmented with class descriptions of non-elementary movements, which can be queried using the query language SQWRL (Semantic Query Web-enhanced Rule Language).
PB  - Springer Nature Switzerland AG
TI  - Classifying Non-elementary Movements in Vietnamese Mo Dances
AV  - public
EP  - 13
T2  - Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Modelling the Human Body and Motion
ER  -