A health consumer ontology of fast food information

被引：0

作者：

Amith, Muhammad ^{[1
]}

Wang, Jing ^{[2
]}

Xiong, Grace ^{[3
]}

Roberts, Kirk ^{[1
]}

Tao, Cui ^{[1
]}

机构：

[1] Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, Houston, TX 77030 USA

[2] Tulane Univ, New Orleans, LA 70118 USA

[3] Univ Texas Austin, Austin, TX 78712 USA

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE | 2020年

基金：

美国国家卫生研究院;

关键词：

knowledge representation; semantic web; food technology; public healthcare; OBESITY;

D O I：

10.1109/BIBM49941.2020.9313375

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

A variety of severe health issues can be attributed to poor nutrition and poor eating behaviors. Research has explored the impact of nutritional knowledge on an individual's inclination to purchase and consume certain foods. This paper introduces the Ontology of Fast Food Facts, a knowledge base that models consumer nutritional data from major fast food establishments. This artifact serves as an aggregate knowledge base to centralize nutritional information for consumers. As a semantically-linked data source, the Ontology of Fast Food Facts could engender methods and tools to further the research and impact the health consumers' diet and behavior, which is a factor in many severe health outcomes. We describe the initial development of this ontology and future directions we plan with this knowledge base.

引用

页码：1714 / 1719

页数：6

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