FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.
FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.
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DOI：
10.1155/2015/475410
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发表时间：
2015
影响因子：
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通讯作者：
Çelik D
中科院分区：
文献类型：
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作者：
Çelik D
一个本体驱动的安全食品消费移动的系统被认为是。超过3,000种化合物被添加到加工食品中，对食品产生多种影响：增加颜色，稳定，组织化，保存，增甜，增香，软化，调味等。根据世界卫生组织的说法，各国政府最近专注于立法，以减少制造食品中的此类成分或化合物，因为它们可能会产生副作用，导致心脏病，癌症，糖尿病，过敏原和肥胖等健康风险。通过监督吃什么和吃多少以及不吃什么，我们可以通过避免不健康的成分来最大限度地提高患者的生活质量。具有强大知识库的智能电子健康系统可以为个人提供适当食物的建议。下一代智能知识库系统将不仅包括传统的基于语法的搜索，这限制了搜索结果的实用性，但也将提供语义丰富的搜索。在本文中，食品成分的概念匹配的性能是基于语义的，这意味着它运行自己的语义为基础的规则集，通过建议的本体驱动的移动的安全食品消费系统（FoodWiki）推断有意义的结果。
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emulsify, and so forth. According to World Health Organization, governments have lately focused on legislation to reduce such ingredients or compounds in manufactured foods as they may have side effects causing health risks such as heart disease, cancer, diabetes, allergens, and obesity. By supervising what and how much to eat as well as what not to eat, we can maximize a patient's life quality through avoidance of unhealthy ingredients. Smart e-health systems with powerful knowledge bases can provide suggestions of appropriate foods to individuals. Next-generation smart knowledgebase systems will not only include traditional syntactic-based search, which limits the utility of the search results, but will also provide semantics for rich searching. In this paper, performance of concept matching of food ingredients is semantic-based, meaning that it runs its own semantic based rule set to infer meaningful results through the proposed Ontology-Driven Mobile Safe Food Consumption System (FoodWiki).