Design of a Computer-Based Legal Information Retrieval System.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 01 04 2022
accepted: 21 04 2022
entrez: 23 5 2022
pubmed: 24 5 2022
medline: 25 5 2022
Statut: epublish

Résumé

In today's society, people's lives are increasingly inseparable from computer information. Due to the continuous improvement of technology and the rapid development of internet technology, the network environment is becoming more and more complex, which makes it easy to cause loopholes in the information retrieval system when people use the network. Therefore, it is especially important to search for legal knowledge by computer. In order to adapt to this change and demand, we need a retrieval system to provide the corresponding search function, legal information content, and management and other services, so as to achieve the purpose of computer legal information retrieval. The legal information retrieval system is computer based, draws conclusions from the analysis of relevant data, and then applies them to judicial trial cases, criminal investigations, and other fields to provide a reference for relevant legal issues. The system is designed to combine computer technology with a criminal investigation and other fields, and then analyze the data to draw the corresponding conclusions. The retrieval algorithms used are mainly image and content retrieval algorithms, and image retrieval algorithms mainly use image segmentation technology, while content retrieval algorithms mainly use the cuckoo algorithm. At present, the information construction and economic and social development in China have become one of the issues of common concern and need to be solved by all countries in the world. The study of the legal information retrieval system is of great importance in the construction of information technology and the development of economic society.

Identifiants

pubmed: 35602613
doi: 10.1155/2022/6942773
pmc: PMC9119781
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6942773

Informations de copyright

Copyright © 2022 Feng Wu et al.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Feng Wu (F)

Criminal Justice School, Zhongnan University of Economics and Law, Wuhan, China.

Yanting Ji (Y)

International Business School, Sichuan International Studies University, Chongqing 400031, China.

Wenping Shi (W)

Criminal Justice School, Zhongnan University of Economics and Law, Wuhan, China.

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Classifications MeSH