Automation in Cataloguing: Assessing the Efficiency of AI Chatbots in the Classification of Manuscripts
| dc.contributor.author | K, Sreehari | |
| dc.contributor.author | P, Silpa | |
| dc.contributor.author | T M, Vasudevan | |
| dc.date.accessioned | 2025-12-02T09:11:09Z | |
| dc.date.available | 2025-12-02T09:11:09Z | |
| dc.date.issued | 2025-12-01 | |
| dc.description | 14th International CALIBER 2025, Sri Venkateswara University, Tirupati, Andhra Pradesh, November 17-19, 2025 | |
| dc.description.abstract | Artificial intelligence provides human-like interaction with software and offers support for specific tasks. Currently, libraries have been automated, and cataloguing can be performed easily. This study focuses on understanding the efficiency of AI chatbots in cataloguing manuscripts. This study was conducted using 50 random manuscript titles from the catalogue of the Oriental Research Institute & Manuscript Library, Thiruvananthapuram. Using the same prompt, the investigator used AI chatbots to identify the details of manuscripts, such as title, author, language, and script. Controlled experiments, load testing, response time measurements, and comparative analyses were performed using the data. Different chatbots have different abilities to return information. The ability of chatbots has been compared and evaluated at various stages in the classification process of a manuscript | |
| dc.identifier.isbn | 9789381232149 | |
| dc.identifier.uri | https://ir.inflibnet.ac.in/handle/1944/2514 | |
| dc.language.iso | en | |
| dc.publisher | INFLIBNET Centre Gandhinagar | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Automated Cataloguing | |
| dc.subject | Classification | |
| dc.subject | Manuscripts | |
| dc.title | Automation in Cataloguing: Assessing the Efficiency of AI Chatbots in the Classification of Manuscripts | |
| dc.type | Article |