SportsWoman: A semantic-based recommender platform for women who practice sports
| Autor: | José Luis García-Soidán, Javier Sanz-Valero, Juan M. Santos-Gago, Carmina Wanden-Berghe, Luis M. Álvarez-Sabucedo, Víctor M. Alonso-Rorís |
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| Rok vydání: | 2019 |
| Předmět: |
020205 medical informatics
business.industry Computer science System usability scale Sports science Usability 0102 computer and information sciences 02 engineering and technology Ontology (information science) 01 natural sciences Personalization World Wide Web Knowledge base 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering Semantic technology business Amateur |
| Zdroj: | Journal on Advances in Theoretical and Applied Informatics. 5 |
| ISSN: | 2447-5033 |
| DOI: | 10.26729/jadi.v5i1.3041 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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