Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents

Vuong Pham, Vuong Pham, Vuong Pham, Hien Nguyen, Hien Nguyen, Thinh Le, Thinh Le, Binh Nguyen, Binh Nguyen, Hung Ngo

2023

Abstract

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.

Paper Citation

in Harvard Style

Pham V., Nguyen H., Le T., Nguyen B. and Ngo H. (2023). Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-623-1, pages 217-224. DOI: 10.5220/0011635500003393

in Bibtex Style

@conference{icaart23,
author={Vuong Pham and Hien Nguyen and Thinh Le and Binh Nguyen and Hung Ngo},
title={Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2023},
pages={217-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011635500003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents
SN - 978-989-758-623-1
AU - Pham V.
AU - Nguyen H.
AU - Le T.
AU - Nguyen B.
AU - Ngo H.
PY - 2023
SP - 217
EP - 224
DO - 10.5220/0011635500003393