SportsWoman: A semantic-based recommender platform for women who practice sports

  • Juan M. Santos-Gago University of Vigo
  • Luis M. Álvarez-Sabucedo University of Vigo
  • Victor M. Alonso-Rorís DataSpartan
  • José L. García-Soidán University of Vigo
  • Carmina Wanden-Berghe University General Hospital of Alicante
  • Javier Sanz-Valero Miguel Hernández University

Abstract




This article introduces SportWoman, a telematic application aimed at giving support in the form of recommendations to women who practice sports, whether professional or amateur or even sporadic practitioners of sports or fitness activities. The platform tries to cover the gap of woman personalization left by mobile applications supporting sports and fitness that currently exist in the market by taking into account the menstrual cycle of women and how this cycle affects them individually. SportsWoman was designed as an Expert System in which information is stored in a Knowledge Base using semantic technologies. In the proposed platform, the knowledge of specialists (physicians and researchers of sports science) is expressed using a particular ontology and a set of rules that, in turn, determine the daily recommendations for each user. SportsWoman has been tested and evaluated by 34 athletes through the well-known System Usability Scale, obtaining a value of 86, which corresponds to an acceptable level of usability with a grade B.




Author Biography

Juan M. Santos-Gago, University of Vigo

Juan M. Santos-Gago received the Telecommunication Engineering and PhD degrees with honours from the University of Vigo, in 1998 and 2008, respectively. He is currently an Associate Professor with the Department of Telematics Engineering, University of Vigo, where he has lectured courses on computer architectures, programming and artificial intelligence. He has participated in several national and international R&D projects, in some of them as principal investigator. His main research interests are on the use of semantic technologies and data analytics techniques to support the construction of advanced telematics services. He has co-authored more than 40 articles in peer-reviewed journals and more than 100 communications in international conferences.

Published
2019-12-23
How to Cite
SANTOS-GAGO, Juan M. et al. SportsWoman: A semantic-based recommender platform for women who practice sports. Journal on Advances in Theoretical and Applied Informatics, [S.l.], v. 5, n. 1, dec. 2019. ISSN 2447-5033. Available at: <https://revista.univem.edu.br/jadi/article/view/3041>. Date accessed: 21 jan. 2020. doi: https://doi.org/10.26729/jadi.v5i1.3041.