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1. Natural Language Processing and serials cataloging : an assisting perspective
What is under the umbrella of AI can really be a starting point in terms of assisting in serials description/cataloging? The complexity and different cases of serials nature, make it very difficult to rely on specific patterns that can be fed into an artificial intelligence model, in the context of teaching or training others on how to catalog a serial. On the other hand creating a trained chat bot on assisting in the basics of serials cataloging, with a serial expert, is something could be helpful. In this session I will present a chat bot I created and trained, for the purpose of the above.
2. Enhance! : Using Google Keep and Notepad++ to Automate Enhanced Contents Notes for a Large Scale Journal Cleanup
In summer of 2024, our cataloging department began work on a large-scale periodicals project requiring the recataloging, relabeling, and barcoding of roughly 12,000 volumes. To assist with the sheer quantity of materials, we cross-trained colleagues from other departments to manage the more straightforward journals, but this still left a large number of monographic series. To comply with our standards for bibliographic records, each item in these multi-author series would require enhanced 505 contents notes. By employing Google Keep for OCR and creating macros in Notepad++, we have streamlined this process to generate in five minutes what used to take twenty.
