Abstract
Historical maps are invaluable sources of information about the past, and scanned historical maps are increasingly accessible in online libraries. To retrieve maps from these large libraries that contain specific places of interest, previous work has applied computer vision techniques to recognize words on historical maps, enabling searches for maps that contain specific place names. However, searching for multiword place names is challenging due to complex layouts of text labels on historical maps. This paper proposes an efficient query method for searching a given multiword place name on historical maps. Using existing methods to recognize words on historical maps, we link single-word text labels into potential multiword phrases by constructing minimum spanning trees. These trees aims to link pairs of text labels that are spatially close and have similar height, angle, and capitalization. We then query these trees for the given multiword place name. We evaluate the proposed method in two experiments: 1) to evaluate the accuracy of the minimum spanning tree approach at linking multiword place names and 2) to evaluate the number and time range of maps retrieved by the query approach. The resulting maps reveal how places using multiword names have changed on a large number of maps from across history.
Original language | English (US) |
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Title of host publication | GeoSearch 2024 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data |
Editors | Hao Li, Abhishek Potnis, Wenwen Li, Dalton Lunga, Martin Werner, Andreas Zufle |
Publisher | Association for Computing Machinery, Inc |
Pages | 9-12 |
Number of pages | 4 |
ISBN (Electronic) | 9798400711480 |
DOIs | |
State | Published - Oct 29 2024 |
Event | 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2024 - Atlanta, United States Duration: Oct 29 2024 → … |
Publication series
Name | GeoSearch 2024 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data |
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Conference
Conference | 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2024 |
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Country/Territory | United States |
City | Atlanta |
Period | 10/29/24 → … |
Bibliographical note
Publisher Copyright:© 2024 Copyright held by the owner/author(s).
Keywords
- cartography
- historical maps
- minimum spanning tree
- toponym