eprintid: 3045
rev_number: 9
eprint_status: archive
userid: 318
dir: disk0/00/00/30/45
datestamp: 2018-08-11 02:19:40
lastmod: 2018-08-11 02:19:40
status_changed: 2018-08-11 02:19:40
type: conference_item
metadata_visibility: show
creators_name: Abdelmoutia, Telli
creators_name: Ma, Thi Chau
creators_name: Mustapha, Bourahla
creators_name: Karim, Tabia
creators_name: Salem, Benferhat
creators_id: tellimoutia@gmail.com
creators_id: chaumt@vnu.edu.vn
title: AniAge Ontology for Movement Classification in Vietnamese Dance
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: 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
date_type: published
full_text_status: public
pres_type: paper
event_title: The International Conference on Pattern Recognition and Artificial Intelligence
event_location: Montréal, Canada
event_dates: May 2018
event_type: conference
refereed: TRUE
citation:   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.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3045/1/Dance.pdf