Semantic Modeling for Personalized Dietary Recommendation

被引：0
|
作者：
Arens-Volland, Andreas [1 ]
Gateau, Benjamin [1 ]
Naudet, Yannick [1 ]
机构：
[1] Luxembourg Inst Sci & Technol, IT Innovat Serv Dept, L-4362 Esch Sur Alzette, Luxembourg
来源：
2018 13TH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP 2018) | 2018年
关键词：
FOOD;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an initial work concerning a holistic semantic modeling approach enabling personalized dietary recommendations. Focus is given here to the review of existing semantic resources and food information resources covering different aspects of the domain. A gap analysis in relation to a comprehensive conceptual model is given. This work is part of a recently started project named LiFANA - Lifelong Food and Nutrition Assistance (www.lifana.eu).
引用
收藏
页码：93 / 98
页数：6
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