Legal-Onto: An Ontology-based Model for Representing the Knowledge of a Legal Document

Thinh Nguyen, Thinh Nguyen, Hien Nguyen, Hien Nguyen, Vuong Pham, Dung Tran, Ali Selamat, Ali Selamat

2022

Abstract

In the legal knowledge domain, legal norm documents are general rules which are mandatory for people in a certain field. Many regulations are affecting to activities in a field. Ontology is an effective approach for representing practical knowledge domains. In this paper, an integration ontology for representing the knowledge of a law document is proposed. This model is integrated of ontology about relational knowledge and the graph of keyphrases as a conceptual graph. It can represent semantic of contents in the law document. Based on this integrated model, the improvement method of self-attention network by language-oriented semantic analyzing is studied for intellectual retrieval on the law document. Moreover, the proposed method is applied to construct an intelligent support system for knowledge querying on Vietnam Land Law. It can help users to query some meaning of terminology in land law and some land-related administrative procedures.

Paper Citation

in Harvard Style

Nguyen T., Nguyen H., Pham V., Tran D. and Selamat A. (2022). Legal-Onto: An Ontology-based Model for Representing the Knowledge of a Legal Document. In Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-568-5, pages 426-434. DOI: 10.5220/0011066300003176

in Bibtex Style

@conference{enase22,
author={Thinh Nguyen and Hien Nguyen and Vuong Pham and Dung Tran and Ali Selamat},
title={Legal-Onto: An Ontology-based Model for Representing the Knowledge of a Legal Document},
booktitle={Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2022},
pages={426-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011066300003176},
isbn={978-989-758-568-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Legal-Onto: An Ontology-based Model for Representing the Knowledge of a Legal Document
SN - 978-989-758-568-5
AU - Nguyen T.
AU - Nguyen H.
AU - Pham V.
AU - Tran D.
AU - Selamat A.
PY - 2022
SP - 426
EP - 434
DO - 10.5220/0011066300003176