Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs

We develop a novel approach to construct a knowledge graph encompassing legal case documents and relevant legislation to improve legal information organization and retrieval. Our method involves data collection, entity extraction, and graph construction using natural language processing techniques. The constructed heterogeneous graph connects courts, cases, domains, and laws, significantly enriching information provided by retrieval systems. Our approach demonstrates potential in case analysis, legal recommendations, and decision support, providing valuable insights and resources for the legal domain.