ABSTRACT
1 Historical maps capture past landscapes' natural and anthropogenic features, with geohistorical data from periods before the 1970s (before the Landsat program's launch) primarily found, barring a few exceptions, only on printed map sheets. In the past decade, numerous maps have been digitized and made publicly accessible. This chapter overviews cutting-edge AI methods and systems for processing historical maps to generate valuable data, insights, and knowledge. Individual sections highlight our recently published research findings across various domains, including the semantic web, big data, data mining, machine learning, document understanding, natural language processing, remote sensing, and geographic information systems.
Contact: Yao-Yi Chiang. Email: yaoyi@umn.edu. All other authors are listed in alphabetical order.
