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Improving Access to Archival Collections with Automated Entity Extractionby Kyle Banerjee and Max Johnsonhttp://journal.code4lib.org/articles/10726"The complexity and diversity of archival resources make constructingrich metadata records time consuming and expensive, which in turnlimits access to these valuable materials. However, significantautomation of the metadata creation process would dramatically reducethe cost of providing access points, improve access to individualresources, and establish connections between resources that wouldotherwise remain unknown.Using a case study at Oregon Health &#38; Science University as a lens toexamine the conceptual and technical challenges associated withautomated extraction of access points, we discuss using publicallyaccessible API’s to extract entities (i.e. people, places, concepts,etc.) from digital and digitized objects. We describe why Linked OpenData is not well suited for a use case such as ours. We conclude withrecommendations about how this method can be used in archives as wellas for other library applications."