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Authors: Thinh H. Nguyen 1 ; 2 ; Hien D. Nguyen 1 ; 2 ; Vuong T. Pham 3 ; Dung A. Tran 4 and Ali Selamat 5 ; 6

Affiliations: 1 Faculty of Computer Science, University of Information Technology, Ho Chi Minh City, Vietnam ; 2 Vietnam National University, Ho Chi Minh City, Vietnam ; 3 Faculty of Information Technology, Sai Gon University, Ho Chi Minh City, Vietnam ; 4 Faculty of Software Engineering, University of Information Technology, Ho Chi Minh City, Vietnam ; 5 Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic ; 6 Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

Keyword(s): Ontology, Law Document, Knowledge Representation, Semantic, Intelligent System, Information Retrieval.

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.

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Paper citation in several formats:
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 - ENASE; ISBN 978-989-758-568-5; ISSN 2184-4895, SciTePress, pages 426-434. DOI: 10.5220/0011066300003176

@conference{enase22,
author={Thinh H. Nguyen. and Hien D. Nguyen. and Vuong T. Pham. and Dung A. 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 - ENASE},
year={2022},
pages={426-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011066300003176},
isbn={978-989-758-568-5},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Legal-Onto: An Ontology-based Model for Representing the Knowledge of a Legal Document
SN - 978-989-758-568-5
IS - 2184-4895
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
PB - SciTePress

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