In this paper, an ontology-based approach is used to organize the knowledge base of legal documents in road traffic law. This knowledge model is built by the improvement of ontology Rela-model. In addition, several searching problems on traffic law are proposed and solved based on the legal knowledge base. The intelligent search system on Vietnam road traffic law is constructed by applying the method. The searching system can help users to find concepts and definitions in road traffic law. Moreover, it can also determine penalties and fines for violations in the traffic. The experiment results show that the system is efficient for users' typical searching and is emerging for usage in the real-world.
翻译：在本文中,采用了本体学方法来组织道路交通法法律文件的知识库,这种知识模型是通过改进本体学Rela模型而建立的,此外,还根据法律知识库提出并解决了交通法方面的几个查询问题,越南道路交通法的智能搜索系统是通过应用这种方法构建的,搜索系统可以帮助用户在道路交通法中找到概念和定义,还可以确定对交通违法行为的处罚和罚款,实验结果表明,该系统对于用户的典型搜索是有效的,正在出现,在现实世界中使用。
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