Digital semantic technologies are formidable tools for uncovering information recorded in primary sources that document cultural heritage and make it available in the form of open, shareable and interconnected data. The field of digital humanities has employed these technologies, linked open data (LOD) in particular, in various areas of humanities research and data publishing. At the Semantic Lab at Pratt Institute, we have been experimenting with the application of linked data to arts and humanities, from jazz history to artists’ archives, for over a decade, spearheading new methods and innovative tools to generate knowledge bases from textual documents, including oral histories, correspondence, directories, and more. Our intent was to demonstrate how this powerful set of principles and techniques could offer innovative ways to enhance discoverability and facilitate access to cultural resources. Along the way, we discovered that LOD could also be used to uncover previously unknown or underrepresented voices, giving visibility to communities all but erased from the historical record. While generating and sharing open and linked data is fundamental to building new modes of historical research and scholarship, making these data more inclusive is necessary to challenge canonical narratives and open up new lines of inquiry. This presentation provides an overview of the methodology, techniques and workflow that we used to expose influential, yet marginalized, figures in the jazz community—black women jazz musicians. This effort is part of a broader project entitled Linked Jazz that employs LOD technologies to create knowledge graphs from jazz history archival documents. Our ultimate goal is to share a model that can be deployed across a variety of community memory projects to lower the barrier to generating LOD and shed light on under or misrepresented voices, while bringing digitized cultural heritage collections to new audiences and communities.