Abstract:
Entity Resolution (ER) is increasingly being used to identify and link names across archival collections. We describe a framework for unlocking and linking biographical d...Show MoreMetadata
Abstract:
Entity Resolution (ER) is increasingly being used to identify and link names across archival collections. We describe a framework for unlocking and linking biographical data from WWII Japanese American Incarceration Camps using Entity Resolution and other computational approaches. We demonstrate the construction of social graphs that link people, places, and events and which support further scholarship and reveal hidden stories in historical events, especially given contested archival sources. Finally, we show the power of computational analysis to recreate event networks and represent movement of people using maps. This type of modeling is captured through interactive Jupyter Notebooks that integrate these various elements and document our interpretation of Japanese American experiences and events at the Tule Lake concentration camp.
Date of Conference: 15-18 December 2021
Date Added to IEEE Xplore: 13 January 2022
ISBN Information: