Development of intelligent system of global bibliographic search

IF 1.4 4区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Librarianship and Information Science Pub Date : 2024-01-29 DOI:10.1177/09610006231223509
A. A. Boryaev
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Abstract

The paper presents scientifically grounded principles of formation and algorithms of a global bibliographic retrieval system based on modern intelligent technologies (intelligent linguistic analysis of texts and database management) and Internet search methods. Within the framework of theoretical bibliography, for the first time taking into account the specifics of modern intelligent software, a new algorithm of an integrated automated system for global bibliographic retrieval as well as search for specialized publications to publish research papers was developed. The developed methods include the formation of a normalized database of keywords based on the Universal Decimal Classification (UDC) categories and the automatic assignment of keywords from this normalized database to research papers by an intelligent system for linguistic analysis of texts. The proposed use of keywords as data labels in the form of UDC categories, covering all branches of knowledge, makes it possible to precisely label and describe research papers and scientific publications (journals, proceedings of scientific conferences) to the fullest extent possible. The search for research papers by the proposed bibliographic retrieval system as well as the search for specialized publications to publish those research papers is carried out automatically by normalized keywords assigned to research papers and scientific journals based on intelligent linguistic analysis of the content of those research papers. The study makes a social contribution and shows how it is important to create and utilize best practices, processes and strategies of bibliographic retrieval, which are essential in the development of science in modern society. Besides, in social terms, the search for bibliographic information is one of the methods to solve the problem of finding a relation between personal and public knowledge. The implementation of the study results in accordance with the presented algorithms consists in designing a special global public Internet search resource.
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开发全球书目检索智能系统
论文介绍了基于现代智能技术(文本智能语言分析和数据库管理)和互联网搜索方法的全球书目检索系统的科学组建原则和算法。在理论书目框架内,首次考虑到现代智能软件的特殊性,开发了全球书目检索和专业出版物搜索综合自动化系统的新算法,以发表研究论文。所开发的方法包括根据通用十进制分类法(UDC)的类别建立一个规范化的关键词数据库,并通过一个对文本进行语言分析的智能系统自动将该规范化数据库中的关键词分配给研究论文。建议使用 UDC 类别形式的关键词作为数据标签,涵盖所有知识分支,从而可以最大限度地精确标注和 描述研究论文和科学出版物(期刊、科学会议论文集)。拟议的书目检索系统对研究论文的检索,以及对发表这些研究论文的专业出版物的检索,都是在对研究论文和科学期刊内容进行智能语言分析的基础上,通过分配给这些论文和期刊的规范化关键词自动进行的。这项研究做出了社会贡献,表明了创建和利用书目检索最佳实践、流程和战略的重要性,这对现代社会科学的发展至关重要。此外,从社会角度看,书目信息检索是解决个人知识与公共知识之间关系问题的方法之一。根据提出的算法实施研究成果,包括设计一个特殊的全球公共互联网搜索资源。
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来源期刊
Journal of Librarianship and Information Science
Journal of Librarianship and Information Science INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.70
自引率
11.80%
发文量
82
期刊介绍: Journal of Librarianship and Information Science is the peer-reviewed international quarterly journal for librarians, information scientists, specialists, managers and educators interested in keeping up to date with the most recent issues and developments in the field. The Journal provides a forumfor the publication of research and practical developments as well as for discussion papers and viewpoints on topical concerns in a profession facing many challenges.
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