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Matching Biomedical Ontologies via a Hybrid Graph Attention Network
Frontiers in Genetics, 2022 Biomedical ontologies have been used extensively to formally define and organize biomedical terminologies, and these ontologies are typically manually created by biomedical experts. With more biomedical ontologies being built independently, matching them
Peng Wang, Peng Wang, Yunyan Hu
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The Infectious Disease Ontology in the Age of COVID-19 [PDF]
, 2021 The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health.
Babcock, Shane +3 more
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Relations in biomedical ontologies [PDF]
Genome Biology, 2005 AbstractTo enhance the treatment of relations in biomedical ontologies we advance a methodology for providing consistent and unambiguous formal definitions of the relational expressions used in such ontologies in a way designed to assist developers and users in avoiding errors in coding and annotation.
Smith, Barry +9 more
openaire +2 more sources
BioMedInformatics, 2023 Semantic web technologies (SWT) represent data in a format that is easier for machines to understand. Validating the knowledge in data graphs created using SWT is critical to ensure that the axioms accurately represent the so-called “real” world. However,
Rashmi Burse +2 more
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Physical properties of biological entities: an introduction to the ontology of physics for biology. [PDF]
PLoS ONE, 2011 As biomedical investigators strive to integrate data and analyses across spatiotemporal scales and biomedical domains, they have recognized the benefits of formalizing languages and terminologies via computational ontologies.
Daniel L Cook +2 more
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Ontology for Symptomatic Treatment of Multiple Sclerosis [PDF]
Healthcare Informatics Research, 2022 Objectives Symptomatic treatment is an essential component in the overall treatment of multiple sclerosis (MS). However, knowledge in this regard is confusing and scattered.
Misagh Zahiri Esfahani +2 more
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Querying clinical data in HL7 RIM based relational model with morph-RDB
Journal of Biomedical Semantics, 2017 Background Semantic interoperability is essential when carrying out post-genomic clinical trials where several institutions collaborate, since researchers and developers need to have an integrated view and access to heterogeneous data sources.
Freddy Priyatna +3 more
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Biomedical ontologies and their development, management, and applications in and beyond China
Journal of Bio-X Research, 2019 . Since the boom of biomedical big data studies, various big data processing technologies have been developed rapidly. As an important form of knowledge representation, ontology has become an important means for the utilization and integration of ...
Hongjie Pan +6 more
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, 2009 Vaccine research, as well as the development, testing, clinical trials, and commercial uses of vaccines involve complex processes with various biological data that include gene and protein expression, analysis of molecular and cellular interactions ...
Alan Ruttenberg +20 more
core +3 more sources