World Food Atlas Project
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866913808283336704 |
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| author | Rostami, Ali Xie, Z Ishino, A Yamakata, Y Aizawa, K Jain, Ramesh |
| author_facet | Rostami, Ali Xie, Z Ishino, A Yamakata, Y Aizawa, K Jain, Ramesh |
| contents | A coronavirus pandemic is forcing people to be "at home" all over the world. In a life of hardly ever going out, we would have realized how the food we eat affects our bodies. What can we do to know our food more and control it better? To give us a clue, we are trying to build a World Food Atlas (WFA) that collects all the knowledge about food in the world. In this paper, we present two of our trials. The first is the Food Knowledge Graph (FKG), which is a graphical representation of knowledge about food and ingredient relationships derived from recipes and food nutrition data. The second is the FoodLog Athl and the RecipeLog that are applications for collecting people's detailed records about food habit. We also discuss several problems that we try to solve to build the WFA by integrating these two ideas. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_18727 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | World Food Atlas Project Rostami, Ali Xie, Z Ishino, A Yamakata, Y Aizawa, K Jain, Ramesh Information Retrieval Artificial Intelligence A coronavirus pandemic is forcing people to be "at home" all over the world. In a life of hardly ever going out, we would have realized how the food we eat affects our bodies. What can we do to know our food more and control it better? To give us a clue, we are trying to build a World Food Atlas (WFA) that collects all the knowledge about food in the world. In this paper, we present two of our trials. The first is the Food Knowledge Graph (FKG), which is a graphical representation of knowledge about food and ingredient relationships derived from recipes and food nutrition data. The second is the FoodLog Athl and the RecipeLog that are applications for collecting people's detailed records about food habit. We also discuss several problems that we try to solve to build the WFA by integrating these two ideas. |
| title | World Food Atlas Project |
| topic | Information Retrieval Artificial Intelligence |
| url | https://arxiv.org/abs/2504.18727 |