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ROBOKOP: an abstraction layer and user interface for knowledge graphs to support question answering
2019
Bioinformatics
Preserved Fulltext
We present Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways as an abstraction layer and user interface to more easily query KGs and store, rank and explore query results. ...
KGs are typically stored in a graph-database format, and graph-database queries can be used to answer questions of interest that have been posed by users such as biomedical researchers. ...
Acknowledgements The authors thank Matt Brush and Chris Mungall for creation of the BioLink data model, Eric Deutch for his contributions to the Translator API standard ...
doi:10.1093/bioinformatics/btz604
pmid:31410449
pmcid:PMC6954664
fatcat:vpbwtrsrtrfnvgxyaomclhhrhq
TranQL: An Interactive Query and Visualization Environment for Federated Knowledge Graphs (Preprint)
2020
JMIR Medical Informatics
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The file type is application/pdf.
The TranQL interactive web application includes a user interface to support user exploration of the federated knowledge graph. ...
We aimed to develop an interactive environment for query, visualization, and deep exploration of federated knowledge graphs. ...
The authors thank Matt Brush and Chris Mungall for creating and publishing the Biolink data model, and Eric Deutch and David Koslicki for contributing to the Translator KGS API specification. ...
doi:10.2196/17964
pmid:33226347
fatcat:catqasmnhrdrxid4hvmsax2ox4
Knowledge-based Biomedical Data Science 2019
[article]
2019
arXiv
pre-print
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Major themes include the relationships between knowledge graphs and machine learning, the use of natural language processing, and the expansion of knowledge-based approaches to novel domains, such as Chinese ...
Here we survey the progress in the last year in systems that use formally represented knowledge to address data science problems in both clinical and biological domains, as well as on approaches for creating ...
ROBOKOP: An
Abstraction Layer and User Interface for Knowledge Graphs to Support Question
Answering. Bioinformatics
64. Wright D. 2019. ...
arXiv:1910.06710v1
fatcat:kvz5k643zvhpdiq67blc2v33wi