Results 51 to 60 of about 764,785 (295)
Biomedical ontologies and their development, management, and applications in and beyond China
. 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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Machine learning with biomedical ontologies
Ontologies have long been employed in the life sciences to formally represent and reason over domain knowledge, and they are employed in almost every major biological database.
Maxat Kulmanov +3 more
semanticscholar +1 more source
Biomedical Ontologies: Toward Scientific Debate
SummaryObjectives: Biomedical ontologies have been very successful in structuring knowl edge for many different applications, receiving widespread praise for their utility and potential. Yet, the role of computational ontologies in scientific research, as opposed to knowledge management applications, has not been extensively discussed.
Maojo García, Víctor Manuel +5 more
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Disease ontologies for knowledge graphs
Background Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy.
Natalja Kurbatova, Rowan Swiers
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Mechanisms in biomedical ontology [PDF]
The concept of a mechanism has become a standard proposal for explanations in biology. It has been claimed that mechanistic explanations are appropriate for systems biology, because they occupy a middle ground between strict reductionism and holism. Because of their importance in the field a formal ontological description of mechanisms is desirable ...
openaire +2 more sources
Putting Biomedical Ontologies to Work [PDF]
Summary Objectives: Biomedical ontologies exist to serve integration of clinical and experimental data, and it is critical to their success that they be put to widespread use in the annotation of data. How, then, can ontologies achieve the sort of user-friendliness, reliability, cost-effectiveness, and breadth of coverage that is necessary to
B, Smith, M, Brochhausen
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Using Neural Networks for Relation Extraction from Biomedical Literature
Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems.
A Koike +34 more
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Context-based refinement of mappings in evolving life science ontologies
Background Biomedical computational systems benefit from ontologies and their associated mappings. Indeed, aligned ontologies in life sciences play a central role in several semantic-enabled tasks, especially in data exchange.
Victor Eiti Yamamoto +2 more
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Using NSGA-III for optimising biomedical ontology alignment
To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts
Xingsi Xue +3 more
doaj +1 more source
BackgroundBiomedical ontologies have been growing quickly and proven to be useful in many biomedical applications. Important applications of those data include estimating the functional similarity between ontology terms and between annotated biomedical ...
Duc-Hau Le
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