LEGAL KNOWLEDGE REPRESENTATION MODEL
Background. The need to automate the decision-making process on legal issues in various fields of human activity determines the importance of this work. The purpose of the article is to demonstrate a new approach to organizing and structuring legal knowledge using semantic networks. Materials an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penza State University Publishing House
2020-10-01
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| Series: | Известия высших учебных заведений. Поволжский регион:Технические науки |
| Subjects: |
| _version_ | 1818382502802227200 |
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| author | P. A. Gudkov E. M. Podmar'kova |
| author_facet | P. A. Gudkov E. M. Podmar'kova |
| author_sort | P. A. Gudkov |
| collection | DOAJ |
| description | Background. The need to automate the decision-making process on legal issues
in various fields of human activity determines the importance of this work. The purpose
of the article is to demonstrate a new approach to organizing and structuring
legal knowledge using semantic networks.
Materials and methods. The basic methods of knowledge representation are considered.
Graph theory as a mathematical apparatus, as well as Text Mining methods
for extracting information from text documents were used.
Results. The advantages of semantic networks as a knowledge representation
model are shown. An approach to the automated formation of a knowledge base
based on legal text documents is presented. An example of its practical application
is given.
Conclusions. The described model opens up broad prospects for the automation
of legal information processing. The considered approach can be used both for solving
frequently encountered practical decision-making legal issues, and for the timeconsuming
task of automating the regulatory legal acts examination. |
| first_indexed | 2024-12-14T02:51:30Z |
| format | Article |
| id | doaj.art-3ea94de1ea5f405f819d508d1a2053b4 |
| institution | Directory Open Access Journal |
| issn | 2072-3059 |
| language | English |
| last_indexed | 2024-12-14T02:51:30Z |
| publishDate | 2020-10-01 |
| publisher | Penza State University Publishing House |
| record_format | Article |
| series | Известия высших учебных заведений. Поволжский регион:Технические науки |
| spelling | doaj.art-3ea94de1ea5f405f819d508d1a2053b42022-12-21T23:19:44ZengPenza State University Publishing HouseИзвестия высших учебных заведений. Поволжский регион:Технические науки2072-30592020-10-01310.21685/2072-3059-2020-3-2LEGAL KNOWLEDGE REPRESENTATION MODELP. A. Gudkov0E. M. Podmar'kova1Penza State UniveristyPenza State UniveristyBackground. The need to automate the decision-making process on legal issues in various fields of human activity determines the importance of this work. The purpose of the article is to demonstrate a new approach to organizing and structuring legal knowledge using semantic networks. Materials and methods. The basic methods of knowledge representation are considered. Graph theory as a mathematical apparatus, as well as Text Mining methods for extracting information from text documents were used. Results. The advantages of semantic networks as a knowledge representation model are shown. An approach to the automated formation of a knowledge base based on legal text documents is presented. An example of its practical application is given. Conclusions. The described model opens up broad prospects for the automation of legal information processing. The considered approach can be used both for solving frequently encountered practical decision-making legal issues, and for the timeconsuming task of automating the regulatory legal acts examination.knowledge representation modelsemantic networkstructuringautomatinglegal knowledge |
| spellingShingle | P. A. Gudkov E. M. Podmar'kova LEGAL KNOWLEDGE REPRESENTATION MODEL Известия высших учебных заведений. Поволжский регион:Технические науки knowledge representation model semantic network structuring automating legal knowledge |
| title | LEGAL KNOWLEDGE REPRESENTATION MODEL |
| title_full | LEGAL KNOWLEDGE REPRESENTATION MODEL |
| title_fullStr | LEGAL KNOWLEDGE REPRESENTATION MODEL |
| title_full_unstemmed | LEGAL KNOWLEDGE REPRESENTATION MODEL |
| title_short | LEGAL KNOWLEDGE REPRESENTATION MODEL |
| title_sort | legal knowledge representation model |
| topic | knowledge representation model semantic network structuring automating legal knowledge |
| work_keys_str_mv | AT pagudkov legalknowledgerepresentationmodel AT empodmarkova legalknowledgerepresentationmodel |