Data and Knowledge Engineering for Legal Precedents Using First-Order Predicate Logic

Data and knowledge engineering play a crucial role in the advancement of intelligent systems, particularly in the ability to analyze and comprehend legal precedents. We have applied this technique to divorce cases as a study and we have found that these techniques offer valuable insights and support decision-making processes. This paper delves into the application of First Order Predicate Logic (FOPL) in modeling and reasoning about divorce precedents. FOPL provides a formal representation of legal concepts, rules, and relationships, enabling the development of intelligent systems capable of analyzing divorce cases and extracting pertinent information. By harnessing FOPL, this research aims to enhance the efficiency and accuracy of legal systems analysis. The paper explores the design and implementation of a FOPL-based system for divorce case analysis and furthermore, it uncovers challenges and future directions.