Ontology-Based Personalized Dietary Recommendation for Weightlifting

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/iwcss-13.2013.13
ID  - Tumnark2013/08
ER  -