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BERST: An Engine and Tool for Exploring Biomedical Entities and Relationships

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To facilitate the search of rapidly growing biomedical knowledge in literature, we developed a Biomedical entity-relationship search tool (BERST). It is also a biomedical knowledge integration framework, which presently contains six popular databases represented in terms of a network of concepts and relations extracted from these knowledge sources. Users search the integrated knowledge network by entering keywords, and BERST returns a sub-network matching and representing the keywords and their relationships. The resulting graph can be navigated interactively allowing users to explore specific paths between any two nodes representing potentially interesting relationships between them. A graphical UI was developed to provide a more intuitive and overall view of the information being searched and studied. BERST framework can be naturally expanded to integrate other biomedical knowledge sources. BERST is implemented as a Java web application.

Biomedical ontologyRelationship miningRelationship searching tool

BAI Tian、GE Yan、YANG Changqing、LIU Xiaohua、GONG Leiguang、WANG Ye、HUANG Lan

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College of Computer Science and Technology, Jilin University, Changchun 130012, China

Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China

Yantai Intelligent Information Technologies Ltd., Yantai 264005, China

Department of Computer Science and Technology, Zhuhai College of Jilin University, Zhuhai 519041, China

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This work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaJilin Provincial Key Laboratory of Big Data Intelligent ComputingDevelopment Project of Jilin Province of ChinaPremier-Discipline Enhancement Scheme supported by Zhuhai GovernmentPremier Key-Discipline Enhancement Scheme supported by Guangdong Government FundsFundamental Research Funds for the Central Universities,JLU

617022146147215920180622002JC20170101006JC

2019

10.1049/cje.2019.05.007

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(4)
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