[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.11568/kjm.2021.29.4.649

ORGANIC RELATIONSHIP BETWEEN LAWS BASED ON JUDICIAL PRECEDENTS USING TOPOLOGICAL DATA ANALYSIS

Kim, Seonghun (Department of Mathematics, SungKyunKwan University Suwon)
Jeong, Jaeheon (Department of Mathematics, SungKyunKwan University Suwon)

Publication Information

Korean Journal of Mathematics / v.29, no.4, 2021 , pp. 649-664 More about this Journal

Abstract

There have been numerous efforts to provide legal information to the general public easily. Most of the existing legal information services are based on keyword-oriented legal ontology. However, this keyword-oriented ontology construction has a sense of disparity from the relationship between the laws used together in actual cases. To solve this problem, it is necessary to study which laws are actually used together in various judicial precedents. However, this is difficult to implement with the existing methods used in computer science or law. In our study, we analyzed this by using topological data analysis, which has recently attracted attention very promisingly in the field of data analysis. In this paper, we applied the the Mapper algorithm, which is one of the topological data analysis techniques, to visualize the relationships that laws form organically in actual precedents.

Keywords

Topological data analysis; the Mapper algorithm; Law; Organic relationship; Act; Article; judicial precedent;

Citations & Related Records

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