Authors:
Piyaporn Tumnark
1
;
Miguel Abreu
2
;
Miguel Macedo
2
;
Paulo Cardoso
2
;
Jorge Cabral
2
and
Filipe Conceição
3
Affiliations:
1
Faculty of Sport, University of Porto, Porto, Portugal, Faculty of Sports Science, Kasetsart University, Kamphaeng Saen Campus, Nakorn Pathom and Thailand
;
2
Industrial Electronics Department, University of Minho, Braga and Portugal
;
3
Faculty of Sport, University of Porto, Porto and Portugal
Keyword(s):
Ontology, Nutrition, Weightlifting, Biomechanics, Semantics, Reasoning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Data Engineering
;
Domain Analysis and Modeling
;
e-Business
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
Studies in weightlifting have been characterized by unclear results, and paucity of information. This is due to the fact that enhancing the understanding of the mechanics of successful lift requires collaborative contributions of several stakeholders such as coach, nutritionist, biomechanist, and physiologist as well as the aid of technical advances in motion analysis, data acquisition, and methods of analysis. Currently, there are still a lack of knowledge sharing between these stakeholders. The knowledge owned by these experts are not captures, classified or integrated into an information system for decision-making. In this study, we propose an ontology-driven weightlifting knowledge model as a solution for promoting a better understanding of the weightlifting domain as a whole. The study aims to build a knowledge framework for Olympic weightlifting, bringing together related knowledge subdomains such as training methodology, biomechanics, and dietary while modelling the synergy am
ong them. In so doing, terminology, semantics, and used concepts will be unified among researchers, coaches, nutritionists, and athletes to partially obviate the recognized limitations and inconsistencies. The whole weightlifting "training-diet-competition" (TDC) cycle is semantically modelled by conceiving, designing, and integrating domain and task ontologies with the latter devising reasoning capability toward an automated and tailored weightlifting TDC cycle.
(More)