georeg: a pipeline for extracting addresses and other business information from historical registries

Description

Abstract:
georeg is a research prototype for extracting addresses and other business information from historical registries, developed by the CIS Data Science Practice at Brown University, in collaboration with Scott Frickel and Tom Marlow at the Institute at Brown for Environment and Society. We have developed and tested it primarily with images we scanned from Rhode Island manufacturing registries spanning the 1950s through the 1990s. In these scanned images, georeg identifies each heading and the ordering of manufacturer listings, so that we can extract the name, address, business type, and number of employees as tabular data, which is then geocoded to provide latitude and longitude. georeg is freely available for non-commercial use. Please see the included file LICENSE.txt for more details. Version: 2016-12-15 https://bitbucket.org/brown-data-science/georeg. Citation: Mining Spatio-temporal Data on Industrialization from Historical Registries (https://arxiv.org/abs/1612.00992)
Notes:
This research was supported by the National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program of the National Institutes of Health under award number P42ES013660.

Access Conditions

Use and Reproduction
© Copyright 2016 Brown University. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license

Citation

Berenbaum, David, Deighan, Dwyer, Marlow, Thomas, et al., "georeg: a pipeline for extracting addresses and other business information from historical registries" (2016). Brown Superfund Data Products, Superfund Project: Socio-environmental Cities, Brown University Open Data Collection. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/4jbh-v575

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