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DISCOVERY - Using Linked Data relationships to enhance discovery and mitigate bias

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DISCOVERY - Using Linked Data relationships to enhance discovery and mitigate bias
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14
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
This presentation will share an open-source JavaScript-based Linked Data project that explores techniques to improve terminology used for discovering resources from systemically marginalized communities (metadataBias). As a research project, it is also investigating a practical application of Linked Data to enhance usability of library systems. Controlled vocabularies used in cultural heritage organizations (galleries, libraries, archives, and museums) are a helpful way to standardize terminology but can also result in misrepresentation or exclusion of systemically marginalized communities. Library of Congress Subject Headings (LCSH) is one example of a widely used yet problematic controlled vocabulary for subject headings. Linked Data vocabularies can connect terms between larger, less representative vocabularies (like LCSH) and terms from a community’s vocabulary to aid and instruct end users conducting research online. This project uses The Homosaurus, an LGBTQ+ Linked Data controlled vocabulary, to provide an augmented and updated search experience to mitigate bias within a system that only uses LCSH for subject headings. The presentation will provide a demonstration, share progress to date on research findings, usability feedback, and implementation, instructions for how to use or contribute to this research, as well as plans for further development.