Literature DB >> 33664662

Knowledge Representation for Multi-Scale Physiology Route Modeling.

Natallia Kokash1, Bernard de Bono2.   

Abstract

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.
Copyright © 2021 Kokash and de Bono.

Entities:  

Keywords:  anatomy; connectivity; knowledge management; multi-scale model; ontology; physiology

Year:  2021        PMID: 33664662      PMCID: PMC7921311          DOI: 10.3389/fninf.2021.560050

Source DB:  PubMed          Journal:  Front Neuroinform        ISSN: 1662-5196            Impact factor:   3.739


  11 in total

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  3 in total

1.  Representing Normal and Abnormal Physiology as Routes of Flow in ApiNATOMY.

Authors:  Bernard de Bono; Tom Gillespie; Monique C Surles-Zeigler; Natallia Kokash; Jeff S Grethe; Maryann Martone
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Journal:  Front Neuroinform       Date:  2022-08-24       Impact factor: 3.739

Review 3.  Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on "Frontiers in Neuroinformatics".

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  3 in total

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