Abstract

Foods recommendation for diabetes patients is indispensable for controlling blood sugar levels. Currently, the foods preparation is done by a nutrition expert. The patient's dependence on the nutrition experts is very high, thus the selection of foods could not be done independently. The Automation system to determine foods combination for diabetic patients is needed to solve these problems. In this study, the automation system has been designed and implemented. The technologies used in this research are the OWL and SWRL. There are few researches that explore an automation process of foods recommendation for diabetes patients using the technology of OWL and SWRL. Domain knowledge based on Ontology is needed to process foods composition automatically. However, using SWRL and OWL technology is not enough, because the accuracy of the words required. A semantic ontology understanding was added using weighted tree similarity method to specify the composition of foods for diabetic patients. 73% data were able to be correctly predicted by this method.

Original languageEnglish
Pages170-175
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013 - Yogyakarta, Indonesia
Duration: 7 Oct 20138 Oct 2013

Conference

Conference2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013
Country/TerritoryIndonesia
CityYogyakarta
Period7/10/138/10/13

Keywords

  • Diabetes Mellitus
  • Diet
  • Foods Recomendation
  • Ontology

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