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A Deductive Object-Oriented Database System for Situated Inference in Law
June 1996 (vol. 8 no. 3)
pp. 496-503

Abstract—Deductive Object-Oriented Databases and Situation Theory are two important areas of research in the fields of database and of linguistics. AI and Law is a new field attracting both AI researchers and legal practitioners. Our research brings together the former two fields with the aim of designing knowledge applications in the latter. This is achieved through a formal model for legal reasoning, ${\cal SM}$, and a deductive object-oriented database system, ${\cal QUIX}\!O\!{\cal TE}$. The purpose of this paper is to introduce the key features of this formal model, based on situation theory, and to describe how this database system can implement this abstract model for complex legal reasoning applications. Concrete examples from legal precedents are used to illustrate these advanced features.

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Index Terms:
Deductive object-oriented databases, AI and law, knowledge base management systems, situation theory.
Citation:
Stephen Wong, Satoshi Tojo, "A Deductive Object-Oriented Database System for Situated Inference in Law," IEEE Transactions on Knowledge and Data Engineering, vol. 8, no. 3, pp. 496-503, June 1996, doi:10.1109/69.506715
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