Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/36978

TitleOntology-based personalized dietary recommendation for weightlifting
Author(s)Tumnark, Piyaporn
Conceição, Filipe Almeida da
Vilas-Boas, João Paulo
Oliveira, Leandro
Cardoso, Paulo
Cabral, Jorge
Santibutr, Nonchai
KeywordsFood
Nutrition
Athlete
Weightlifting
Ontology
Issue date2013
PublisherAtlantis Press
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/36978
ISBN978-90786-77-83-3
DOI10.2991/iwcss-13.2013.13
Publisher versionhttp://www.atlantis-press.com/php/pub.php?publication=iwcss-13
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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