Automated Subject Analysis and Access Working Group
What is our objective?
The primary goal of the Automated Indexing Working Group is to provide information about developments and projects using automated indexing and machine learning methods in subject analysis and to explore best practices for the professional community through articles, webinars, and white papers. This working group was formed at the IFLA WLIC 2019 in Athens, Greece.
What projects have we completed?
- Special issue of Cataloging & Classification Quarterly guest edited by Athena Salaba and Caroline Saccucci:
“Artificial Intelligence (AI) and Automated Processes for Subject Access”, Cataloging & Classification Quarterly, 59:8, 699-874 https://www.tandfonline.com/toc/wccq20/59/8
- Webinar: Where Do We Meet? Perspectives from Software Developers and Subject Specialists on Creating Machine Learning Projects November 9, 2022.
Who are we?
- Andreas Kempf, Leibniz Information Centre for Economics
- Julijana Nadj-Guttandin, German National Library
- Olof Osterman, National Library of Sweden
- Caroline Saccucci (convener), Library of Congress
- Liubov Zavialov, Boris Yeltsin Presidential Library
How do we work?
The Automated Indexing Working Groups manages our projects via IFLA’s Basecamp, as well as collaborating on written documentation via Google Drive. We meet regularly via Zoom.
If you are interested in the Automated Indexing Working Group, you can attend one of our online meetings as an observer. Please email the convener, Caroline Saccucci, at csus@loc.gov or the SAA Chair, Athena Salaba, at asalaba@kent.edu if you wish to attend.