Knowledge Representation for Multi-Scale Physiology Route Modeling

被引：7
作者：
Kokash, Natallia [1 ]
de Bono, Bernard [1 ,2 ]
机构：
[1] Peoples Friendship Univ Russia, Moscow, Russia
[2] Univ Auckland, Auckland Bioengn Inst, Auckland, New Zealand
来源：
FRONTIERS IN NEUROINFORMATICS | 2021年 / 15卷
关键词：
physiology; multi-scale model; knowledge management; anatomy; connectivity; ontology;
D O I：
10.3389/fninf.2021.560050
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页数：17
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