The following slide deck was shared in a presentation titled “Challenging Classification Bias with Linked Data.”
The presentation took place on May 3, 2016 at the TRY Library Conference, University of St. Michael’s College, University of Toronto.
Juliya Borie, University of Toronto
F. Tim Knight, Osgoode Hall Law School of York University
Jordan Hale, University of Toronto
Osgoode Hall Law School Digital Commons, York University
Can library classification systems find new ways to deal with charges of bias? Can linked data contribute a more inclusive representation of diverse voices and communities? This panel will discuss the inherent biases present in cataloguing and classification, and consider the potential for linked data to provide a space to highlight and explore the challenging political issues that can arise in our work. These include issues related to jurisdiction, territory, and community with examples drawn from legal classification and the classification of cartographic resources.
Direct to Slide Deck (75 slides; PDF)