Title :
Dietary recommendation based on recipe ontology
Author :
Yu-Hsien Ting ; Qiangfu Zhao ; Rung-Ching Chen
Author_Institution :
Comput. & Inf. Syst., Univ. of Aizu, Aizu-Wakamatsu, Japan
Abstract :
It is known that unhealthy diet, irregular life, work pressure and other factors can result in a number of diseases. Diabetes mellitus, peptic ulcer, and gastro-enteritis are just a few examples. To reduce these diseases, diet management is becoming an indispensable part in our daily lives. The main purpose of this study is to build a diet management system that can provide the user´s correct nutritional information based on recipe ontology. In this paper, we construct a recipe ontology that defines various food nutrients needed for healing some common diseases, and an inference engine that can, given the user´s health conditions as well as his/her preferences, recommend a proper recipe based on the recipe ontology.
Keywords :
diseases; inference mechanisms; medical information systems; ontologies (artificial intelligence); recommender systems; diabetes mellitus; diet management; diet management system; dietary recommendation; diseases; gastroenteritis; inference engine; irregular life; nutritional information; peptic ulcer; recipe ontology; unhealthy diet; user health conditions; work pressure; Databases; Diabetes; Diseases; Hypertension; Knowledge based systems; Ontologies; Resource description framework; dietary recommendation; disease; ontology; recipe;
Conference_Titel :
Awareness Science and Technology (iCAST), 2014 IEEE 6th International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICAwST.2014.6981829
