>> Presentations and Recordings <<
- 9-10 September: pre-Conference meetings (at the KU Leuven Faculty of Social Science)
- 11-13 September: IGeLU 2023 Conference + Ex Libris Knowledge Days
- 14 September: Developers' Day + Ex Libris Knowledge Days + Ex Libris Primo VE Workshops
Except for sessions marked as "Physical session only (no live streaming)", all sessions are accessible to physical and virtual participants.
Making use of article-level data and AI to improve linking
Session Abstract
Connecting users to full-text articles used to be a straightforward process of creating an OpenURL query that linked users from A&I resources to publisher sites. Today, it's not so simple. Several factors now need to be considered in creating a full-text link and deciding which one is used, including which publisher and aggregator sources have the article, the formats available to the user (PDF or HTML), whether the article is Open Access, if the version of record and alternative versions are available, if an article has been retracted or carries an expression of concern, and if the article is from a predatory journal. This presentation describes how the LibKey linking technology uses article-level intelligence and AI-based source selection to navigate the new terrain of linking to provide the fastest, most reliable, and most informed link to full text, every time, wherever the user starts their research journey.
Track
Development / Initiative
Products or Areas of Focus
General / Other
Physical/Virtual?
Physical session (+ live streaming with Zoom)