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：本文采用基于本体的方法对道路交通法法律文书知识库进行组织。该知识模型通过改进Rela-model本体模型构建而成。此外，本文基于法律知识库提出并解决了交通法规领域的若干检索问题。通过应用该方法，构建了越南道路交通法智能检索系统。该系统可帮助用户查找道路交通法中的概念与定义，同时能够确定交通违法行为的处罚与罚款金额。实验结果表明，该系统对用户典型检索需求具有高效性，并展现出实际应用价值。