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森林食品KG:森林食品分类学和营养学的结构化数据集和知识图
Rongen Yan1,2,3, Zhidan Chen1,2,3, Shengqi Zhou4
1School of Information Science and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China.
Foods (Basel, Switzerland)
|December 30, 2025
概括
我们开发了ForestFoodKG,这是一个新的知识库,详细介绍了1191种森林食品的分类学和营养. 该资源增强了饮食多样性和可持续林业研究.
科学领域:
- 营养科学 营养科学
- 生态生态学 生态生态学
- 生物信息学是一种生物信息学.
背景情况:
- 森林食品对于饮食多样性,健康和生态系统可持续性至关重要.
- 现有的资源缺乏关于森林食物分类和营养的结构化,机器可读的数据.
研究的目的:
- 为森林食品创建一个全面的,结构化的知识库.
- 为1191个森林食品项目整合分类层次和营养成分数据.
主要方法:
- 开发了ForestFoodKG数据集,在七个生物层面上提供标准化的分类学和营养记录.
- 使用命名实体识别和关系提取来链接食品实体构建了ForestFoodKG知识图 (ForestFoodKG-KG).
- 手动验证所有数据的准确性.
主要成果:
- 森林FoodKG数据集包括1191个森林食品项目.
- 森林食品KG-KG包含4492个实体和14130个语义关系.
- 数据在GitHub上以CSV格式公开提供.
结论:
- 森林食品KG是森林食品的第一个结构化知识库.
- 这个资源支持智能查询,营养分析和生态信息学.
- 它促进营养科学和可持续林业的数据驱动研究.
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