AUTHOR=Kokash Natallia , de Bono Bernard TITLE=Knowledge Representation for Multi-Scale Physiology Route Modeling JOURNAL=Frontiers in Neuroinformatics VOLUME=15 YEAR=2021 URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2021.560050 DOI=10.3389/fninf.2021.560050 ISSN=1662-5196 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.