AI in Libraries: Subject Mapping and Interpreting Bibliometric Laws with Contemporary Metrics.
Incorporating artificial intelligence (AI) into library science has significantly transformed information management and retrieval. This study explores AI in libraries, focusing on subject mapping and bibliometric laws, using data from 2014 to 2023. This paper provides insights into the evolution of...
| Publicado en: | Serials Librarian Vol. 85; no. 5/6; pp. 99 - 117 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182411289&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182411289 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0361526X SLI jtl: Serials Librarian issn: 0361526X maglogo: N pubinfo: dt: 2024 vid: 85 iid: 5/6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 182411289 182037679 182411289 182411289 10.1080/0361526X.2024.2444288 182411289 ppf: 99 ppct: 18 formats: tig: atl: AI in Libraries: Subject Mapping and Interpreting Bibliometric Laws with Contemporary Metrics. aug: au: Esh, Manash Ghosh, Saptarshi affil: Information Scientis, University of North Bengal, Darjeeling, India sug: subj: Artificial Intelligence Librarianship Information Retrieval Information Management Human Bibliometrics Probability ab: Incorporating artificial intelligence (AI) into library science has significantly transformed information management and retrieval. This study explores AI in libraries, focusing on subject mapping and bibliometric laws, using data from 2014 to 2023. This paper provides insights into the evolution of scholarly communication, knowledge dissemination, and information retrieval." The study reveals patterns in library and information science distribution, productivity, and impact by examining bibliometric laws such as Bradford's, Lotka's, and Zipf's. This study utilised systematic searches, robust databases, and bibliometric tools to ensure methodological rigour. Seventy-six documents meeting predefined criteria were selected, with Scopus Elsevier as the primary data source. Analysis was performed using Bibliometrix software in RStudio, supplemented by Python code for visualisation and statistical analysis. Bradford's law highlighted the concentration of AI literature in specific journals, while Lotka's Law confirmed the unequal productivity among authors. The study concludes with recommendations for future research, offering a comprehensive understanding of AI's implications in library science. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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