Understanding Graph and Understanding Map and Their Potential Applications

Abstract

Based on a previously proposed data structure, Understanding Tree, this paper introduces two data structures: Understanding Graph and Understanding Map, and explores their potential applications. Understanding Graph and Understanding Map are special cases of semantic network. They are constructed according to concept definitions. Potential applications of them include quantitatively measuring a concept’s complexity degree, measuring a concept’s importance degree in a domain, and computing an optimized learning sequence for comprehending a concept etc.