TY  - CONF
ID  - SisLab3045
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3045/
A1  - Abdelmoutia, Telli
A1  - Ma, Thi Chau
A1  - Mustapha, Bourahla
A1  - Karim, Tabia
A1  - Salem, Benferhat
Y1  - 2018/07//
N2  - 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.
TI  - AniAge Ontology for Movement Classification in Vietnamese Dance
M2  - Montréal, Canada
AV  - public
T2  - The International Conference on Pattern Recognition and Artificial Intelligence
ER  -