Accepted author manuscript, 1.3 MB, PDF document
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Mapping the Encyclopédie
T2 - Working Towards an Early Modern Digital Gazetteer
AU - McDonough, Katherine
AU - van de Camp, Matje
PY - 2017/11/7
Y1 - 2017/11/7
N2 - Historians investigating evidence with spatial significance increasingly rely on gazetteers to identify the location of geographical features/places. Existing digital gazetteers cater to twenty-first century or discrete historical geographies (the classical world, for example). Early modernists (ca. 1450-1750), particularly those who work on non-Anglophone cultures, represent a major scholarly community with no temporally-appropriate gazetteers available. In this paper, we introduce a project that fills this research infrastructure gap. Mapping place names in the canonical eighteenth-century Encyclopédie is a case study for semi-automating the identification, classification, and location of places and spatial relations in historical geographic reference works printed in French. We demonstrate the challenges of using existing geoparsers and introduce our plan for new tools and protocols for working with historical French texts.
AB - Historians investigating evidence with spatial significance increasingly rely on gazetteers to identify the location of geographical features/places. Existing digital gazetteers cater to twenty-first century or discrete historical geographies (the classical world, for example). Early modernists (ca. 1450-1750), particularly those who work on non-Anglophone cultures, represent a major scholarly community with no temporally-appropriate gazetteers available. In this paper, we introduce a project that fills this research infrastructure gap. Mapping place names in the canonical eighteenth-century Encyclopédie is a case study for semi-automating the identification, classification, and location of places and spatial relations in historical geographic reference works printed in French. We demonstrate the challenges of using existing geoparsers and introduce our plan for new tools and protocols for working with historical French texts.
U2 - 10.1145/3149858.3149861
DO - 10.1145/3149858.3149861
M3 - Conference contribution/Paper
SP - 16
EP - 22
BT - GeoHumanities'17
PB - Association for Computing Machinery (ACM)
CY - New York, NY
ER -