Abstract—With the popularization of computers and
advancement of information technology (IT), there has been a
rapid growth in the application of IT, thus greatly changed
living habits, consumption behaviors, and health awareness of
the modern society. Meanwhile, the demand is ever increasing
for healthcare services based on information and knowledge
that lead to personal health attention by people gradually.
This research aims to design and develop an ontology driven knowledge-base system for generating personalized Diet-Aid web services based on standard Health Level Seven (HL7) health screening data. The system provides intelligent, personalized web services of Diet plan for users through an ontological knowledge engine. The system developed is capable of generating a dietetic plan and filter out unsuitable food on site according to user’s health conditions and the accessible recipe information. The REST-based Diet-Aid web services can be accessed service ubiquitously by using any Internet-enabled device.
Index Terms—Diet plan, health level seven international (HL7), health screening, ontology.
The authors are with the Department of Industrial Engineering and Management, Yuan Ze University, Taiwan, ROC (e-mail: email@example.com, firstname.lastname@example.org, email@example.com).
Cite:Chuan-Jun Su, Yin-An Chen, and Chia-Wen Chih, "Personalized Ubiquitous Diet Plan Service Based on Ontology and Web Services," International Journal of Information and Education Technology vol. 3, no. 5, pp. 522-528, 2013.