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
相关论文
共 50 条
  • [1] Biomedical Relation Extraction With Knowledge Graph-Based Recommendations
    Sousa, Diana
    Couto, Francisco M.
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (08) : 4207 - 4217
  • [2] BioGrakn: A Knowledge Graph-Based Semantic Database for Biomedical Sciences
    Messina, Antonio
    Pribadi, Haikal
    Stichbury, Jo
    Bucci, Michelangelo
    Klarman, Szymon
    Urso, Alfonso
    COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS, CISIS-2017, 2018, 611 : 299 - 309
  • [3] Knowledge Graph-based Support for Automated Manufacturability Analysis
    Grangel-Gonzalez, Irlan
    Loesch, Felix
    ul Mehdi, Anees
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [4] Graph-based reasoning in collaborative knowledge management for industrial maintenance
    Kamsu-Foguem, Bernard
    Noyes, Daniel
    COMPUTERS IN INDUSTRY, 2013, 64 (08) : 998 - 1013
  • [5] Knowledge Graph-Based Assembly Resource Knowledge Reuse towards Complex Product Assembly Process
    Shi, Xiaolin
    Tian, Xitian
    Gu, Jianguo
    Yang, Fan
    Ma, Liping
    Chen, Yun
    Su, Tianyi
    SUSTAINABILITY, 2022, 14 (23)
  • [6] Graph-based query rewriting for knowledge sharing between peer ontologies
    Qin, Biao
    Wang, Shan
    Du, Xiaoyong
    Chen, Qiming
    Wang, Qiuyue
    INFORMATION SCIENCES, 2008, 178 (18) : 3525 - 3542
  • [7] Effects of a knowledge graph-based learning approach on student performance and experience
    Qu, Kechen
    Li, Kam Cheong
    Wong, Billy Tak-Ming
    Liu, Maggie
    Chan, Venus
    Lee, Lap-Kei
    INTERNATIONAL JOURNAL OF MOBILE LEARNING AND ORGANISATION, 2024, 18 (05) : 1 - 22
  • [8] Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development
    Zhang, Chao
    Zhou, Guanghui
    Lu, Qi
    Chang, Fengtian
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (23) : 7187 - 7203
  • [9] Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine
    Kamsu-Foguem, Bernard
    Diallo, Gayo
    Foguem, Clovis
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (04) : 1348 - 1365
  • [10] Human-centered knowledge graph-based design concept for collaborative manufacturing
    Nagy, Laszlo
    Ruppert, Tamas
    Abonyi, Janos
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,