An Ontology to Integrate Multiple Knowledge Domains of Training-Dietary-Competition in Weightlifting: A Nutritional Approach Nutritional Approach

Main Article Content

Piyaporn Tumnark
Paulo Cardoso
Jorge Cabral
Filipe Conceição

Abstract

This study is a part of weightlifting “Training-Dietary-Competition” (TDC) cycle ontology. The main objective of TDC-cycle is to build a knowledge framework for Olympic weightlifting, bringing together related fields such as training methodology, weightlifting biomechanics, and nutrition while modelling the synergy among them. In so doing, terminology, semantics, and used concepts are unified among athletes, coaches, nutritionists, and researchers to partially obviate the problem of unclear results and paucity of information. The uniqueness of this ontology is its ability to solve the knowledge sharing problem in which the knowledge owned by these experts in each field are not captures, classified or integrated into an information system for decision-making. The whole weightlifting 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. However, this study will focus mainly on the nutrition domain. The intended application of this part of ontology is to provide a useful decision-making platform for a sport nutritionist who gathers and integrate relevant scientific information, equation, and tools necessary when providing nutritional services. The system is constructed by using Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and Semantic Query-Enhanced Web Rule Language (SQWRL). The use of weightlifting TDC-cycle ontology can be helpful for nutritionists to create a well-planned nutrition program for athletes (especially, in the process of nutrition monitoring to identify energy imbalance in athletes) by reducing time consumption and calculation errors.

Article Details

How to Cite
[1]
P. Tumnark, P. Cardoso, J. Cabral, and F. Conceição, “An Ontology to Integrate Multiple Knowledge Domains of Training-Dietary-Competition in Weightlifting: A Nutritional Approach: Nutritional Approach”, ECTI-CIT Transactions, vol. 12, no. 2, pp. 140–152, Mar. 2019.
Section
Artificial Intelligence and Machine Learning (AI)
Author Biographies

Piyaporn Tumnark, Faculty of Sports Science, Kasetsart University, Kamphaeng Saen Campus, Nakorn Pathom, Thailand

Piyaporn Tumnark is currently PhD student at Faculty of Sport, University of Porto and lecturer at Faculty of Sports Science, Kasetsart University. Her current research interest includes sport nutrition, knowledge management, and ontology construction.

Paulo Cardoso, Industrial Electronics Department, University of Minho, Braga, Portugal

Paulo Cardoso is Assistant Professor at Industrial Electronics Department, University of Minho. His current research interests include application specific operating systems, system software, digital systems and ontology construction.

Jorge Cabral, Industrial Electronics Department, University of Minho, Braga, Portugal

Jorge Cabral is Assistant Professor at Industrial Electronics Department, University of Minho. His current research interests include embedded systems, instrumentation systems, and microelectric-mechanical systems.

Filipe Conceição, Faculty of Sport, University of Porto, Porto, Portugal

Filipe Conceição is Assistant Professor at Faculty of Sport, University of Porto, Porto, Portugal. His current research interests include modelling, simulation, multidimensional optimization, muscular properties, and training optimization.

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