Ontology-Based Personalized Dietary Recommendation for Weightlifting
Piyaporn Tumnark, Leandro Oliveira, Nonchai Santibutr
Available Online August 2013.
- https://doi.org/10.2991/iwcss-13.2013.13How to use a DOI?
- Ontology; Food; Nutrition; Athlete; Weightlifting.
- 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.
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 -