The AI Metadata Assistant is an integrated tool within the Alma Metadata Editor designed to assist catalogers by suggesting metadata during the cataloging process. It allows users to create new bibliographic records or enrich existing ones by providing metadata suggestions based on input such as titles, authors, content notes, and images (e.g., book covers or title pages). Catalogers can review, accept, modify, or reject these suggestions, maintaining control over the final metadata entries.
Benefits & outcomes
- Streamlines the cataloging process, saving time for library staff.
- Enhances metadata quality and consistency across records.
- Supports the creation and enrichment of bibliographic records with AI-generated suggestions.
- Maintains human oversight to ensure accuracy and relevance of metadata.
Notes & quotes
“As of February 2024, Metadata generated by AI is added to the Alma Community Zone records, focusing on enriching metadata for three specific MARC fields: Language (041 and 008), Summary (520), and LC subject headings (650). The primary focus has been on enriching Ebook Central books, which were lacking these specific metadata elements.
Starting October 2024, we will start enriching Ebook Central Records at scale, targeting to enrich around 8,000 records every week. In this process, we will add Table of Content (505) to enrich records that are missing this field.
We are working to add more fields, including Classification Dewey and LC (082, 050), Publishing information (260/264), additional authors and contributors (100/700)and more.”
Publisher / company: Ex Libris (part of Clarivate)
Date of case study: 25/02/2024
Source: https://exlibrisgroup.com/blog/artificial-intelligence-blog-series-introducing-our-ai-metadata-generator/