{"title":"Development of intelligent system of global bibliographic search","authors":"A. A. Boryaev","doi":"10.1177/09610006231223509","DOIUrl":null,"url":null,"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.","PeriodicalId":47004,"journal":{"name":"Journal of Librarianship and Information Science","volume":"122 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Librarianship and Information Science","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/09610006231223509","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
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.
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.