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Authors: Vuong Pham 1 ; 2 ; 3 ; Hien Nguyen 3 ; 4 ; Thinh Le 4 ; 3 ; Binh Nguyen 2 ; 3 and Hung Ngo 5

Affiliations: 1 Institute of Data Science and Artificial Intelligence, Sai Gon University, Ho Chi Minh City, Vietnam ; 2 Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam ; 3 Vietnam National University, Ho Chi Minh City, Vietnam ; 4 University of Information Technology, Ho Chi Minh City, Vietnam ; 5 Technological University Dublin, Dublin, Ireland

Keyword(s): Knowledge Base, Searching System, Traffic Law, Law on Road Traffic, Legal Document.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 217-224. DOI: 10.5220/0011635500003393

@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},
issn={2184-433X},
}

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
IS - 2184-433X
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
PB - SciTePress

- Science and Technology Publications, Lda.
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