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An Analysis of COVID-19 Knowledge Graph Construction and Applications
[article]
2021
arXiv
pre-print
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The construction and application of knowledge graphs have seen a rapid increase across many disciplines in recent years. ...
Further analysis on the constructed knowledge graph provides insight into how tweets reflect public sentiments towards COVID-19 related topics and how changes in these sentiments correlate with real-world ...
INTRODUCTION The past decade has seen a rapid increase in Knowledge Graph construction and analysis due to its vast industrial and scientific applications [1] . ...
arXiv:2110.04932v1
fatcat:ctnfyr3hcfgytlc7kx4iltlxgu
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
2020
Bioinformatics
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Here, we present the COVID-19 Knowledge Graph, an expansive cause-and-effect network constructed from scientific literature on the new coronavirus that aims to provide a comprehensive view of its pathophysiology ...
Availability The COVID-19 Knowledge Graph is publicly available under CC-0 license at https://github.com/covid19kg and https://bikmi.covid19-knowledgespace.de. ...
Web Application In order to better aid the exploration and usage of the generated COVID-19 Knowledge Graph, a web application was developed using Biological Knowledge Miner (BiKMi), an in-house software ...
doi:10.1093/bioinformatics/btaa834
pmid:32976572
pmcid:PMC7558629
fatcat:gdzdhdaum5gzvltfpc4d6htone
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
[article]
2020
bioRxiv
pre-print
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Here, we present the COVID-19 Knowledge Graph, an expansive cause-and-effect network constructed from scientific literature on the new coronavirus that aims to provide a comprehensive view of its pathophysiology ...
COVID-19 Knowledge Graph is publicly available under CC-0 license at https://github.com/covid19kg and https://bikmi.covid19-knowledgespace.de.Contactalpha.tom.kodamullil@scai.fraunhofer.deSupplementary ...
Conflict of Interest: none declared. References Blanco-Melo, D., et al. (2020). SARS-CoV-2 launches a unique transcriptional signature from in vitro, ex vivo, and in vivo systems. ...
doi:10.1101/2020.04.14.040667
fatcat:wb77jplskbehbdijaafi6mensm
Deep Learning applications for COVID-19
2021
Journal of Big Data
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We describe how each of these applications vary with the availability of big data and how learning tasks are constructed. ...
We begin by evaluating the current state of Deep Learning and conclude with key limitations of Deep Learning for COVID-19 applications. ...
Opinions, findings, conclusions, or recommendations in this paper are the authors' and do not reflect the views of the NSF. ...
doi:10.1186/s40537-020-00392-9
pmid:33457181
pmcid:PMC7797891
fatcat:aokxo63z2rhdpfxo3egyf3xpcm
Deep Learning-Based Knowledge Graph Generation for COVID-19
2021
Sustainability
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The proposed method obtains knowledge from a vast amount of text documents about COVID-19 rather than a general knowledge base and add this to the existing knowledge graph. ...
Many attempts have been made to construct new domain-specific knowledge graphs using the existing knowledge base of various domains. ...
COVID-19 Dictionary Construction In this section, we introduce the method used to construct an entity dictionary that stores various entities that can be nodes of the COVID-19-specific knowledge graph. ...
doi:10.3390/su13042276
fatcat:h3ubxdey6rdejmnpapsqwrvv6m
Facilitating the Analysis of COVID-19 Literature Through a Knowledge Graph
[chapter]
2020
Lecture Notes in Computer Science
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Moreover, we discuss, on a conceptual level, several possible applications and analyses that can be built on top of this knowledge graph. ...
In order to facilitate the analysis of this large mass of literature, we have created a knowledge graph based on this dataset. ...
-19-knowledge-graph-a-network-analysis ...
doi:10.1007/978-3-030-62466-8_22
fatcat:guei2yy4zvdkpkejatwn246ibi
Construct a Knowledge Graph for China Coronavirus (COVID-19) Patient Information Tracking
2021
Risk Management and Healthcare Policy
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Therefore, this paper proposes a method for the analysis of COVID-19 epidemic situation using knowledge graph combined with interactive visual analysis. ...
graph of the action track of the COVID-19 patient was deeply explored and comparative summarized. ...
model and application of knowledge graph. ...
doaj:5b48256db37646deae0f292bb8d11010
fatcat:a75nuqzd3nh2bb4h2gpbg66ova
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response
2020
Social Science Research Network
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KG-COVID-19 is a framework that enables the creation of customized KGs containing COVID-19 knowledge for different applications. ...
Figure 4 . 4 Workflow for Machine Learning Application of KG-COVID-19 Knowledge Graph (A) In order to train classifiers for use in link prediction, training and test graphs are first produced from the ...
doi:10.2139/ssrn.3681978
fatcat:pkm3aschdfajtg4v6mqzy47ofm
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
[article]
2020
biorxiv/medrxiv
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To address these challenges, we created KG-COVID-19, a flexible framework that ingests and integrates biomedical data to produce knowledge graphs (KGs) for COVID-19 response. ...
While rich biological knowledge exists for SARS-CoV-2 and related viruses (SARS-CoV, MERS-CoV), integrating this knowledge is difficult and time consuming, since much of it is in siloed databases or in ...
Figure 4 . 4 Workflow for Machine Learning Application of KG-COVID-19 Knowledge Graph (A) In order to train classifiers for use in link prediction, training and test graphs are first produced from the ...
doi:10.1101/2020.08.17.254839
pmid:32839776
pmcid:PMC7444288
fatcat:kiiqbvcigfcchm4v6ikoz5umju
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
2020
Patterns
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To address these challenges, we created KG-COVID-19, a flexible framework that ingests and integrates heterogeneous biomedical data to produce knowledge graphs (KGs), and applied it to create a KG for ...
While rich biological knowledge exists for SARS-CoV-2 and related viruses (SARS-CoV, MERS-CoV), integrating this knowledge is difficult and time consuming, since much of it is in siloed databases or in ...
KG-COVID-19 is a framework that enables the creation of customized KGs containing COVID-19 knowledge for different applications. ...
doi:10.1016/j.patter.2020.100155
pmid:33196056
pmcid:PMC7649624
fatcat:bkoqhgb7mjf7roajxw4ohxuvgu
Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape
2021
Journal of Personalized Medicine
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Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was "covid-19 knowledge graph". ...
To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. ...
Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/jpm11040300
pmid:33919882
fatcat:s7ztzbngizam3gqztu6ls6qtnq
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
2021
Nucleic Acids Research
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These complex sets of entities and relationships are displayed to users via easy-to-interpret, interactive knowledge graphs within an open-access service. ...
CROssBAR knowledge graphs incorporate relevant genes-proteins, molecular interactions, pathways, phenotypes, diseases, as well as known/predicted drugs and bioactive compounds, and they are constructed ...
., M.M. and V.A., and planned the work. V.J., A.N., R.S., V.V., H.Z. and M.M constructed the database and the API. ...
doi:10.1093/nar/gkab543
pmid:34181736
pmcid:PMC8450100
fatcat:cdot5ur7qnen5fm25fmhlukqoq
COVID term: a bilingual terminology for COVID-19
2021
BMC Medical Informatics and Decision Making
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A cross-language terminology of COVID-19 is essential for improving knowledge sharing and scientific discovery dissemination. ...
Methods We developed a bilingual terminology of COVID-19 named COVID Term with mapping Chinese and English terms. ...
Acknowledgements Not applicable. ...
doi:10.1186/s12911-021-01593-9
fatcat:dku2ynxivvhx5jjojobmd3gg7a
Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology
2022
BMC Medical Informatics and Decision Making
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We showed the utility of KGEV in three intuitive case studies to explore and query knowledge on COVID-19. A demo of this web application can be accessed at http://covid19nlp.wglab.org. ...
The COVID-19 pandemic resulted in an explosion of relevant literature, making it challenging to make full use of the vast and heterogenous sources of information. ...
Acknowledgements The authors would like to thank Wang lab members for testing the web framework and offering advice on knowledge integration from other data sources. ...
doi:10.1186/s12911-022-01848-z
pmid:35655307
pmcid:PMC9161770
fatcat:bsuzwh2imffpzhppoaebwwbynm
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
[article]
2021
arXiv
pre-print
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To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions ...
We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. ...
FA8750-19-2-1004, U.S. DARPA AIDA Program ...
arXiv:2007.00576v6
fatcat:5diojtoei5fxngdkulgzgrfequ
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