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KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health.

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成果类型:
期刊论文
作者:
Chengcheng Fu;Xueli Pan;Jieyu Wu;Junkai Cai;Zhisheng Huang;...
作者机构:
[Xueli Pan; Frank van Harmelen] Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
National Language Resources Monitor Research Center for Network Media, Central China Normal University, Wuhan, China
School of Computer Science, Central China Normal University, Wuhan, China
语种:
英文
期刊:
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
ISSN:
2168-2194
年:
2024
卷:
PP
页码:
1-12
机构署名:
本校为第一机构
院系归属:
计算机学院
国家数字化学习工程技术研究中心
摘要:
It is commonly known that food nutrition is closely related to human health. The complex interactions between food nutrients and diseases, influenced by gut microbial metabolism, present challenges in systematizing and practically applying knowledge. To address this, we propose a method for extracting triples from a vast amount of literature, which is used to construct a comprehensive knowledge graph on nutrition and human health. Concurrently, we develop a query-based question answering system over our knowledge graph, proficiently addressing three types of questions. The results show that ou...

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