![](bg9.png)
took the first steps towards developing a comprehen-
sive tool for automatic annotations of videos and for
querying their content using machine lear ning. The
idea is to build a training set from a set of manually
annotated videos, then to use machine learning tech-
niques to train machine learning models to annotate
videos automatically.
ACKNOWLEDGEMENTS
Work supported by H2020-MSCA-RISE European
project: AniAge (High Dimensional Heterogeneous
Data-based Animation Techniques for Southeast
Asian Intangible Cultural Heritage Digital Content).
REFERENCES
Baader, F., Calvanese, D., Mcguinness, D., Nardi, D., and
Patel-Schneider, P. (2007). The Description Logic
Handbook: Theory, Implementation, and Applica-
tions.
Baader, F., Horrocks, I., Lutz, C., and Sattler, U. (2017). An
Introduction to Description Logic. Cambridge Univer-
sity Press.
Belabbes, S., Tan, C.-W., Vo, T.-T., Izza, Y., Tabia, K., and
Benferhat, S. (2019). Query-answering from tradi-
tional dance videos: Case study of zapin dances. In
Proceedings of the 31st International Conference on
Tools with Artificial Intelligence (ICTAI), pages 1630–
1634. IEEE.
Benferhat, S., Cayrol, C., Dubois, D., Lang, J., and Prade,
H. (1993). Inconsistency management and priori-
tized syntax-based entailment. In International Joint
Conference on Artificial Intelligence, pages 640–647.
Morgan Kaufmann.
Bertini, M., Del Bimbo, A., and Serra, G. (2008). Learn-
ing ontology rules for semantic video annotation. In
Proceedings of the 2nd ACM Workshop on Multimedia
Semantics, pages 1–8, Vancouver, Canada. ACM.
Bienvenu, M. and Ortiz, M. (2015). Ontology-mediated
query answering with data-tractable description log-
ics. In Reasoning Web. Web Logic Rules - 11th Inter-
national Summer School, Berlin, Germany, Tutorial
Lectures, pages 218–307.
Bourahla, M., Telli, A., Benferhat, S., and Chau, M. T.
(2019). Classifying non-elementary movements in
vietnamese mõ dances. In Digital Human Modeling
and Applications in Health, Safety, Ergonomics and
Risk Management. Human Body and Motion - 10th
International Conference, DHM 2019, Held as Part
of the 21st HCI International Conference, HCII 2019,
Orlando, FL, USA, July 26-31, 2019, Proceedings,
Part I, pages 128–139.
Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini,
M., and Rosati, R. (2007). Tractable reasoning and
efficient query answering in description logics: The
DL-Lite family. Journal of Automated Reasoning,
39(3):385–429.
El Raheb, K. and Ioannidis, Y. (2011). A labanotation based
ontology for representing dance movement. In Inter-
national Gesture Workshop, pages 106–117. Springer.
El Raheb, K., Papapetrou, N., Katifori, V., and Ioannidis, Y.
(2016). BalOnSe: ballet ontology for annotating and
searching video performances. In Proceedings of the
3rd International Symposium on Movement and Com-
puting, pages 1–8. ACM.
Goienetxea Urkizu, I., Arrieta, I., Bag
¨
ués, J., Cuesta, A.,
Lei
˜
nena, P., and Conklin, D. (2012). Ontologies
for representation of folk song metadata. Technical
Report EHU-KZAA-TR-2012-01, University of the
Basque Country.
Lagrue, S., Chetcuti-Sperandio, N., Delorme, F., Ma-
Thi, C., Ngo-Thi, D., Tabia, K., and Benferhat, S.
(2019). An ontology web application-based annota-
tion tool for intangible culture heritage dance videos.
In Proceedings of the 1st Workshop on Structuring
and Understanding of Multimedia heritAge Contents,
SUMAC ’19, pages 75–81. ACM.
Lembo, D., Lenzerini, M., Rosati, R., Ruzzi, M., and Savo,
D. F. (2010). Inconsistency-tolerant semantics for de-
scription logics. In International Conference on Web
Reasoning and Rule Systems, volume 6333 of LNCS,
pages 103–117.
Luyên N. T. (2013). Giáo trình Trang phục các dân tộc Việt
Nam. Nhà xuất bản Đại học Quốc gia TP.HCM.
Ma, T., Benferhat, S., Bouraoui, Z., Tabia, K., Do, T., and
Nguyen, H. (2018). An ontology-based modelling of
vietnamese traditional dances (S). In The 30th In-
ternational Conference on Software Engineering and
Knowledge Engineering, Redwood City, USA, July 1-
3, 2018, pages 64–67.
Ma-Thi, C., Tabia, K., Lagrue, S., Le-Thanh, H., Bui-The,
D., and Nguyen-Thanh, T. (2017). Annotating move-
ment phrases in vietnamese folk dance videos. In
Advances in Artificial Intelligence: From Theory to
Practice, pages 3–11. Springer.
Ngô V. D. (2002). Văn hóa Cổ Chămpa. Nhà xuất bản văn
hóa dân tộc Publishers.
Ramadoss, B. and Rajkumar, K. (2007). Modeling and an-
notating the expressive semantics of dance videos. In
International Journal "Information Technologies and
Knowledge" Vol.1.
Saaw, S., Beul, D. D., Said, M., and Manneback, P. (2012).
An ontology for video human movement representa-
tion based on benesh notation. In International Con-
ference on Multimedia Computing and Systems, pages
77–82. IEEE.
Sakaya (2010). Văn hóa Chăm: Nghiên cứu và Phê bình,
Tập I. Nhà xuất bản Phụ nữ Publishers.
An Ontology-based Approach for Building and Querying ICH Video Datasets
505