Evaluation of AI-Generated Keywords for Information Retrieval in Library Catalogues
DOI:
https://doi.org/10.17821/srels/2024/v61i4/171505Keywords:
Artificial Intelligence, Cataloguing, Information Retrieval, Library Services, MARC Records, Subject HeadingsAbstract
Artificial Intelligence (AI) has been receiving increasing attention in recent years. Yet its practical implementation remains somewhat limited in libraries. Despite notable advancements, several critical aspects of library technical work, particularly classification and cataloguing, continue to rely heavily on manual processes. This paper examines challenges in current practices, notably the labour-intensive tasks of finding class numbers and subject headings. While the option to import MARC (machine-readable cataloging) records via protocols like Z39.50 provides some relief, the absence of readily available records presents significant obstacles, especially for locally published materials. Against this backdrop, this research explores AI’s potential in generating relevant subject headings to streamline cataloguing processes and augment information retrieval. This study analysed one hundred books from the Indian Institute for Human Settlements (IIHS) library, employing ChatGPT to generate subject headings. However, the resulting headings exhibited a lack of uniformity compared to manual cataloguing. Library headings emphasized geographic and physical details, whereas ChatGPT-generated headings were less detailed. Although ChatGPT facilitates the instantaneous generation, the quality of headings varied, with some resembling MARC fields. Refinement of ChatGPT’s syntax could potentially enhance relevance. Despite its efficiency, ChatGPT cannot entirely replace the human judgment required in cataloguing processes.
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Adetayo, A. J. (2023). Artificial intelligence chatbots in academic libraries: The rise of ChatGPT. https://doi.org/10.1108/LHTN-01-2023-0007/full/html
Asula, M., Makke, J., Freienthal, L., Kuulmets, H., Sirel, R., Asula, M., … Kuulmets, H. (2021). Kratt: Developing an automatic subject indexing tool for the National Library of Estonia. https://doi.org/10.1080/01639374.2021.1998283
Brzustowicz, R. (2023). From ChatGPT to CatGPT: The implications of artificial intelligence. Information Technology and Libraries, 42(3). https://doi.org/10.5860/ital.v42i3.16295
Chingath, V., & Rajendra, B. (2019). Application of artificial intelligent robot in libraries. E-Proceedings of the International Conference on Reshaping Librarianship: Innovations and Transformations (ICRLIT–2019). E-Proceedings of the International Conference on Reshaping Librarianship: Innovations and Transformations (ICRLIT–2019), Coimbatore.
Cloete, L. M., Snyman, R., & Cronjé, J. C. (2003). Training cataloguing students using a mix of media and technologies. Aslib Proceedings, 55(4), 223-233. https://doi.org/10.1108/00012530310486584
Husna, J. (2023). Artificial intelligence in library: Managing bibliographic data with knowledge base system. International Journal of Mathematics and Computer Research, 10(05), 2668-2672. https://doi.org/10.47191/ijmcr/v10i5.01
Kalisdha, A. (2024). The impact of artificial intelligence and machine learning in library and information science. International Journal of Research in Library Science, 10(1), 39-58. https://doi.org/10.26761/ijrls.10.1.2024.1733
Muqueem, S. (2014). Expert system application in library. Knowledge Librarian - An International Peer Reviewed Bilingual E-Journal of Library and Information Science, 1(2), 168-175.
OCLC. (2024). OCLC, Online Computer Library Center, Inc. https://www.loc.gov/flicc/svcdir/oc.html
Panda, S., & Kaur, N. (2023a). Exploring the viability of ChatGPT as an alternative to traditional chatbot systems in library and information centers. Library Hi Tech News, 40(3), 22-25. https://doi.org/10.1108/LHTN-02-2023-0032
Panda, S., & Kaur, N. (2023b). Revolutionizing language processing in libraries with SheetGPT: an integration of Google Sheet and ChatGPT plugin. Library Hi Tech News, 41(5). https://doi.org/10.1108/LHTN-03-2023-0051
Schreur, P. E. (2020). The use of linked data and artificial intelligence as key elements in the transformation of technical services. Cataloging and Classification Quarterly, 58(5). https://doi.org/10.1080/01639374.2020.1772434
Tsay, J., Braz, A., Hirzel, M., Shinnar, A., & Mummert, T. (2022). Extracting enhanced artificial intelligence model metadata from software repositories. Empirical Software Engineering, 27, Article 176.
Zainab, A. N., & De Silva, S. M. (1998). Expert systems in library and information services: Publication trends, authorship patterns and expressiveness of published titles. Journal of Information Science, 24(5), 313-336. https://doi.org/10.1177/016555159802400505
Zakaria, N., & Sani, M. K. J. A. (2023). Implications of ChatGPT in Library Services: A systematic review. 2nd International Conference on Information Science, Technology, Management, Humanities, and Business.
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