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

页数：17

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