Ontology Model for Dietary of Children with Autism Spectrum Disorders

Authors

  • Denis Eka Cahyani Informatics Department, Faculty of Mathematics and Natural Science, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Alfath Prabanuadhi Informatics Department, Faculty of Mathematics and Natural Science, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Rifqi Imaduddin Irfan Informatics Department, Faculty of Mathematics and Natural Science, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Lutfi Aristian Febrianto Informatics Department, Faculty of Mathematics and Natural Science, Universitas Sebelas Maret, Surakarta, Indonesia.

Keywords:

Autism, Diet, Ontology, Semantic Web,

Abstract

Autism is a developmental disorder involving communication, social interaction and imagination activities. One of the therapies used to reduce autism in children is diet therapy. Dietary therapies require special knowledge for parents of children with autism in order to know which foods and drinks are recommended or avoided. Therefore, in this study, the authors intend to build a food and drinks ontology for dieters in autism sufferers based on semantic web technology that using protege. The ontology built contains 50 foods and drinks for three types of autism diet therapy. Ontology testing uses SPARQL query to get answers from the questions asked. The results of the built ontology model can be used as a knowledge base on foods and drinks to facilitate autistic dieters in choosing a diet that fits the type of diet.

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Published

2018-07-03

How to Cite

Cahyani, D. E., Prabanuadhi, A., Irfan, R. I., & Febrianto, L. A. (2018). Ontology Model for Dietary of Children with Autism Spectrum Disorders. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 129–132. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4330