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AniAge Ontology for Movement Classification in Vietnamese Dance

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.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Ma Th� Châu
Date Deposited: 11 Aug 2018 02:19
Last Modified: 11 Aug 2018 02:19

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