Title
Dietary recommendation based on recipe ontology
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.
Year
DOI
Venue
2014
10.1109/ICAwST.2014.6981829
Awareness Science and Technology
Keywords
Field
DocType
diseases,inference mechanisms,medical information systems,ontologies (artificial intelligence),recommender systems,diabetes mellitus,diet management,diet management system,dietary recommendation,gastroenteritis,inference engine,irregular life,nutritional information,peptic ulcer,recipe ontology,unhealthy diet,user health conditions,work pressure,disease,ontology,recipe,ontologies,resource description framework,databases,knowledge based systems,diabetes
Ontology (information science),Ontology,World Wide Web,Peptic ulcer,Computer science,Knowledge-based systems,Knowledge management,Recipe,Inference engine,Management system,RDF
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Yu-Hsien Ting100.34
Qiangfu Zhao221462.36
Rung-Ching Chen333137.37