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

页码：93 / 98

页数：6

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