Knowledge Representation for Multi-Scale Physiology Route Modeling

We present a framework for the topological and semantic assembly of multiscale physiology route maps. The framework, called ApiNATOMY, consists of a knowledge representation (KR) model and a set of knowledge management (KM) tools. Using examples of ApiNATOMY route maps, we present a KR format that i...

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Detalles Bibliográficos
Autores principales: Kokash, Natallia, de Bono, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921311/
https://www.ncbi.nlm.nih.gov/pubmed/33664662
http://dx.doi.org/10.3389/fninf.2021.560050
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author Kokash, Natallia
de Bono, Bernard
author_facet Kokash, Natallia
de Bono, Bernard
author_sort Kokash, Natallia
collection PubMed
description We present a framework for the topological and semantic assembly of multiscale physiology route maps. The framework, called ApiNATOMY, consists of a knowledge representation (KR) model and a set of knowledge management (KM) tools. Using examples of ApiNATOMY route maps, we present a KR format that is suitable for the analysis and visualization by KM tools. The conceptual KR model provides a simple method for physiology experts to capture process interactions among anatomical entities. In this paper, we outline the KR model, modeling format, and the KM procedures to translate concise abstraction-based specifications into fully instantiated models of physiology processes.
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spelling pubmed-79213112021-03-03 Knowledge Representation for Multi-Scale Physiology Route Modeling Kokash, Natallia de Bono, Bernard Front Neuroinform Neuroscience We present a framework for the topological and semantic assembly of multiscale physiology route maps. The framework, called ApiNATOMY, consists of a knowledge representation (KR) model and a set of knowledge management (KM) tools. Using examples of ApiNATOMY route maps, we present a KR format that is suitable for the analysis and visualization by KM tools. The conceptual KR model provides a simple method for physiology experts to capture process interactions among anatomical entities. In this paper, we outline the KR model, modeling format, and the KM procedures to translate concise abstraction-based specifications into fully instantiated models of physiology processes. Frontiers Media S.A. 2021-02-16 /pmc/articles/PMC7921311/ /pubmed/33664662 http://dx.doi.org/10.3389/fninf.2021.560050 Text en Copyright © 2021 Kokash and de Bono. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kokash, Natallia
de Bono, Bernard
Knowledge Representation for Multi-Scale Physiology Route Modeling
title Knowledge Representation for Multi-Scale Physiology Route Modeling
title_full Knowledge Representation for Multi-Scale Physiology Route Modeling
title_fullStr Knowledge Representation for Multi-Scale Physiology Route Modeling
title_full_unstemmed Knowledge Representation for Multi-Scale Physiology Route Modeling
title_short Knowledge Representation for Multi-Scale Physiology Route Modeling
title_sort knowledge representation for multi-scale physiology route modeling
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921311/
https://www.ncbi.nlm.nih.gov/pubmed/33664662
http://dx.doi.org/10.3389/fninf.2021.560050
work_keys_str_mv AT kokashnatallia knowledgerepresentationformultiscalephysiologyroutemodeling
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