AnthraxKP: a knowledge graph-based, Anthrax Knowledge Portal mined From biomedical literature

被引:1
|
作者
Feng, Baiyang [1 ,2 ]
Gao, Jing [1 ,2 ,3 ]
机构
[1] Inner Mongolia Agr Univ, Coll Comp & Informat Engn, Erdos East St 29, Hohhot 010011, Peoples R China
[2] Inner Mongolia Autonomous Reg Key Lab Big Data Re, Zhaowuda Rd 306, Hohhot 010018, Peoples R China
[3] Inner Mongolia Autonomous Reg Big Data Ctr, Chilechuan St 1, Hohhot 010091, Peoples R China
来源
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2022年 / 2022卷
关键词
ANNOTATION; ONTOLOGY;
D O I
10.1093/database/baac037
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Anthrax is a zoonotic infectious disease caused by Bacillus anthracis (anthrax bacterium) that affects not only domestic and wild animals worldwide but also human health. As the study develops in-depth, a large quantity of related biomedical publications emerge. Acquiring knowledge from the literature is essential for gaining insight into anthrax etiology, diagnosis, treatment and research. In this study, we used a set of text mining tools to identify nearly 14 000 entities of 29 categories, such as genes, diseases, chemicals, species, vaccines and proteins, from nearly 8000 anthrax biomedical literature and extracted 281 categories of association relationships among the entities. We curated Anthrax-related Entities Dictionary and Anthrax Ontology. We formed Anthrax Knowledge Graph (AnthraxKG) containing more than 6000 nodes, 6000 edges and 32 000 properties. An interactive visualized Anthrax Knowledge Portal(AnthraxKP) was also developed based on AnthraxKG by using Web technology. AnthraxKP in this study provides rich and authentic relevant knowledge in many forms, which can help researchers carry out research more efficiently.
引用
收藏
页数:9
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