Library and Information Science Commons^™

Challenging Classification Bias With Linked Data, Juliya Borie, F. Tim Knight, Jordan Hale

Librarian Publications & Presentations

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.