Interchange of criminal rules between CLRL and LKIF

Abstract

There is much fuzzy and non-monotonic knowledge in the Semantic Web Criminal Law Area. In recent years, the problem of fuzzy rules interchange has become one of the most important problems in the Semantic Web. Aiming at the problem of heterogeneous fuzzy rule interchange in the Semantic Web, which is based on the proposed Semantic Web Criminal Law Rule Language (CLRL), and based on the rules and norms of XML. We construct the rule mapping between the CLRL and Legal Knowledge Interchange Format (LKIF), and propose a heterogeneous fuzzy criminal law rules interchange architecture (CRIAXS), which supports the bidirectional rule interchange between legal rules. We also analyze the problem of information loss caused by the different language expression ability in the process of legal knowledge interchange, and put forward to the solution. Based on the above description, the prototype system CRIAXS which is based on the JavaScript language has been achieved on the HBuilder platform. We also verify the correctness and stability of the system through multiple conversion examples. The results show that the architecture and the implemented system which laysa solid foundation for the rule-based reasoning, has a good solution to the communication problem between heterogeneous systems, and it has a wide range of application prospects.