Various logical representations and frameworks have been proposed for reasoning with legal information. These approaches assume that the legal text has already been translated to the desired formal representation. However, the approaches for translating legal text into formal representations have mostly focused on inferring facts from text or translating it to a single representation. In this w...

The main goal of our research is to build a legal reasoning system that performs decision support functions in the criminal domain. The system is based on a rule-based reasoning model which is composed of a legal domain ontology, rule base and reasoning engine. The legal domain ontology is needed for modelling the legal norms of the criminal domain. For this purpose, a middle-out approach is pr...

Legal socialization theory predicts that attitudes mediate the relation between legal reasoning and rule-violating behavior [Cohn, E. S., & White, S. O. (1990). Legal Socialization: A Study of Norms and Rules. New York: Springer-Verlag]. Moral development theory predicts that moral reasoning predicts rule-violating behavior directly as well as indirectly [Blasi, A. (1980). Bridging moral cognit...

We have already developed a legal reasoning system by analogy based on a framework, called Goal-Dependent Abstraction (GDA), to detect similarities dependent on given goals. According to the framework, two legal concepts are regarded as similar ones, provided they share the same explanation of a legal purpose as the goal to be explained. Consequently, we can automatically capture similarities b...

Despite the ubiquity of time and temporal references in legal texts, their formal-ization has often been either disregarded or addressed in an ad hoc manner. In this paper we address this issue from the standpoint of the research done on temporal representation and reasoning in AI. We identify the temporal requirements of legal domains and propose a temporal representation framework for legal r...

Despite growing needs of the legal artificial intelligence (AI), its development is slower than other AI domains because legal expertise is essentially required to develop legal AI systems. Legal knowledge representation on legal expertise needs to be considered to implement legal reasoning AI systems. In this paper, we present a legal reasoning methodology, which utilizes multiple expert knowl...