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The Ontology of Physics for Biology - Semantic Modeling of Multiscale, Multidomain Physiological Systems
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The Ontology of Physics for Biology - Semantic Modeling of Multiscale, Multidomain Physiological Systems
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This book introduces the Ontology of Physics for Biology (OPB), a
computable knowledge resource for representing, annotating, and
reasoning about multiscale, multidomain physiological systems. It
links qualitative reasoning to quantitative analysis of biophysical
processes in health and disease. The authors’ work is presented
in the context of two major public health problems, diabetes and
hypertension, to illustrate the depth and rigor of their semantic
representations for logical inference and quantitative analysis.
OPB provides a computable representation of classical physics and
engineering system dynamics that serve as the basis for scientific
understanding of biophysical entities, processes, and their
functional relationships. The formal semantic definitions in the
OPB are useful for annotating, abstracting, and reusing the
biophysical content of available physics-based models and for
analyses of multiscale, multidomain models and data. The authors
present their formalized view of physics-based biological knowledge
from the perspectives of (1) biologists and biomedical
investigators, (2) biophysicists and bioengineers, and (3)
biomedical ontologists and informaticists. The authors’ unique
approach for formally representing and organizing the scientific
knowledge articulated in models of biological systems is applicable
across a wide range of scientific research domains and biological
scales. The book will be a useful guide for undergraduate,
graduate, and professional students of bioinformatics, biomedical
ontology, and biophysical modeling.
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