Abstract | ||
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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 |
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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 Ting | 1 | 0 | 0.34 |
Qiangfu Zhao | 2 | 214 | 62.36 |
Rung-Ching Chen | 3 | 331 | 37.37 |