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Legal-Onto: An ontology-based model for representing the knowledge of a legal document

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...

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Main Authors: Nguyen, Thinh H., Nguyen, Hien D., Pham, Vuong T., Tran, Dung A., Selamat, Ali
Format: Conference or Workshop Item
Published: 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/100520/
http://dx.doi.org/10.5220/0011066300003176
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id my.utm.100520
record_format eprints
spelling my.utm.1005202023-04-14T02:45:12Z http://eprints.utm.my/id/eprint/100520/ Legal-Onto: An ontology-based model for representing the knowledge of a legal document Nguyen, Thinh H. Nguyen, Hien D. Pham, Vuong T. Tran, Dung A. Selamat, Ali T Technology (General) 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. 2022 Conference or Workshop Item PeerReviewed Nguyen, Thinh H. and Nguyen, Hien D. and Pham, Vuong T. and Tran, Dung A. and Selamat, Ali (2022) Legal-Onto: An ontology-based model for representing the knowledge of a legal document. In: 17th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2022, 25 - 26 April 2022, Virtual, Online. http://dx.doi.org/10.5220/0011066300003176
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Nguyen, Thinh H.
Nguyen, Hien D.
Pham, Vuong T.
Tran, Dung A.
Selamat, Ali
Legal-Onto: An ontology-based model for representing the knowledge of a legal document
description 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.
format Conference or Workshop Item
author Nguyen, Thinh H.
Nguyen, Hien D.
Pham, Vuong T.
Tran, Dung A.
Selamat, Ali
author_facet Nguyen, Thinh H.
Nguyen, Hien D.
Pham, Vuong T.
Tran, Dung A.
Selamat, Ali
author_sort Nguyen, Thinh H.
title Legal-Onto: An ontology-based model for representing the knowledge of a legal document
title_short Legal-Onto: An ontology-based model for representing the knowledge of a legal document
title_full Legal-Onto: An ontology-based model for representing the knowledge of a legal document
title_fullStr Legal-Onto: An ontology-based model for representing the knowledge of a legal document
title_full_unstemmed Legal-Onto: An ontology-based model for representing the knowledge of a legal document
title_sort legal-onto: an ontology-based model for representing the knowledge of a legal document
publishDate 2022
url http://eprints.utm.my/id/eprint/100520/
http://dx.doi.org/10.5220/0011066300003176
_version_ 1764222578616958976
score 13.211869

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