快餐信息的健康消费者本体论。
A health consumer ontology of fast food information.
作者信息
Amith Muhammad, Wang Jing, Xiong Grace, Roberts Kirk, Tao Cui
机构信息
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, USA.
Tulane University, New Orleans, USA.
出版信息
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2020 Dec;2020:1714-1719. doi: 10.1109/bibm49941.2020.9313375. Epub 2021 Jan 13.
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.
多种严重的健康问题可归因于营养不良和不良的饮食行为。研究探讨了营养知识对个人购买和消费某些食物倾向的影响。本文介绍了“快餐事实本体”，这是一个对来自主要快餐企业的消费者营养数据进行建模的知识库。这个工件用作一个聚合知识库，为消费者集中营养信息。作为一个语义链接的数据源，“快餐事实本体”可以催生方法和工具，以推动相关研究并影响消费者的饮食和行为健康，而这是许多严重健康结果的一个因素。我们描述了这个本体的初步开发以及我们计划利用这个知识库开展的未来方向。
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