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.
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Liu, G. (2023). Understanding Graph and Understanding Map and Their Potential Applications. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Lecture Notes in Computer Science, vol 13625. Springer, Cham. https://doi.org/10.1007/978-3-031-30111-7_32
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