Proceedings of the 2013 International Workshop on Computer Science in Sports

Ontology-Based Personalized Dietary Recommendation for Weightlifting

Authors
Piyaporn Tumnark, Leandro Oliveira, Nonchai Santibutr
Corresponding Author
Piyaporn Tumnark
Available Online August 2013.
DOI
https://doi.org/10.2991/iwcss-13.2013.13How to use a DOI?
Keywords
Ontology; Food; Nutrition; Athlete; Weightlifting.
Abstract
As pointed at LIVESTRONG.COM, Olympic weightlifters are quite possibly the strongest and most skilled lifters on earth. The ability to put nearly 300 kg over head or clean and jerk three times their bodyweight is feat of strength unmatched in other sports. While this takes years of dedicated training, diet is also critical as optimal nutrition is essential for peak performance. Nutritional misinformation can do as much harm to the ambitious athlete as good nutrition can help. In this study, we propose ontology-based personalized dietary recommendation for weightlifting to assist athletes meet their requirements. This paper describes a food and nutrition ontology working with a rule-based knowledge framework to provide specific menus for different times of the day and different training phases for the athlete’s diary nutritional needs and personal preferences. The main components of this system are the food and nutrition ontology, the athletes’ profiles and nutritional rules for sports athletes.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2013 International Workshop on Computer Science in Sports
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-83-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/iwcss-13.2013.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Piyaporn Tumnark
AU  - Leandro Oliveira
AU  - Nonchai Santibutr
PY  - 2013/08
DA  - 2013/08
TI  - Ontology-Based Personalized Dietary Recommendation for Weightlifting
BT  - Proceedings of the 2013 International Workshop on Computer Science in Sports
PB  - Atlantis Press
SP  - 44
EP  - 49
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwcss-13.2013.13
DO  - https://doi.org/10.2991/iwcss-13.2013.13
ID  - Tumnark2013/08
ER  -