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Linked Data, AI and the future of library metadata

Session Information

For several millennia, paper was the primary medium for storing and sharing information. Western library science, therefore, was developed and operated at the intersection of information storage, education, and this one particular technology. The proliferation of computers changed the field, but the invention of MARC encoding allowed library-developed metadata standards to retain importance by adapting them from the card catalog to the computer. When search engines and discovery systems took over, the incorporation of XML-based schemas, like Dublin Core, into library cataloging was a further adaptation. The integration of AI tools into societal information retrieval presents a similar turning point. In this presentation, I present the argument for how library metadata transformation into linked data can allow library catalogers to remain relevant as curators of information by adapting existing indexing and descriptive standards for the current era of information technology.

Linked Data, AI & library metad
Alma, Primo, Ex Libris Technology & Platform Services, None/General
Understand how linked data systems are used by AI models
Learn about the history of library indexing standards
Gain a new way of looking at the future of linked data and AI in libraries
Apr 30, 2026 11:15 AM - 12:00 Noon(America/Los_Angeles)
Venue : San Gabriel A,B,C
20260430T1115 20260430T1200 America/Los_Angeles Linked Data, AI and the future of library metadata

For several millennia, paper was the primary medium for storing and sharing information. Western library science, therefore, was developed and operated at the intersection of information storage, education, and this one particular technology. The proliferation of computers changed the field, but the invention of MARC encoding allowed library-developed metadata standards to retain importance by adapting them from the card catalog to the computer. When search engines and discovery systems took over, the incorporation of XML-based schemas, like Dublin Core, into library cataloging was a further adaptation. The integration of AI tools into societal information retrieval presents a similar turning point. In this presentation, I present the argument for how library metadata transformation into linked data can allow library catalogers to remain relevant as curators of information by adapting existing indexing and descriptive standards for the current era of information technology.

San Gabriel A,B,C Ex Libris Knowledge Days and ELUNA Conference 2026 eluna-conf-planning@exlibrisusers.org
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Cataloging and Government Documents Lead
,
San Jose State University
Assistant Director for Data Quality
,
Florida Virtual Campus (FLVC)
Mr. Kasey  Correll
Library and Archives Paraprofessional 3
,
Spokane Falls Community College
 Lili Daie
Manager, Product Management
,
Clarivate
Cataloging and Metadata Librarian
,
University of Tennessee at Chattanooga
 Donna Bacchiocchi
Manager of Library Technical Services
,
Bentley University
Assistant Director for Data Quality
,
Florida Virtual Campus (FLVC)
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Slides

1029_1777577772_8099ELUNA-Strykowski-20260426.pdf
Presentation Slide 1
25
Submitted by Jill Strykowski on 30 Apr, 12:36 PM
1029_1777577773_4772ELUNA-AI-20260430.pdf
Presentation Slide 2
22
Submitted by Jill Strykowski on 30 Apr, 12:36 PM

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