Abstract

Historical maps provide rich information for researchers in many areas, including the social and natural sciences. These maps contain detailed documentation of a wide variety of natural and human-made features and their changes over time, such as changes in transportation networks or the decline of wetlands or forest areas. Analyzing changes over time in such maps can be labor-intensive for a scientist, even after the geographic features have been digitized and converted to a vector format. Knowledge Graphs (KGs) are the appropriate representations to store and link such data and support semantic and temporal querying to facilitate change analysis. KGs combine expressivity, interoperability, and standardization in the Semantic Web stack, thus providing a strong foundation for querying and analysis. In this paper, we present an automatic approach to convert vector geographic features extracted from multiple …

Date

January 1, 2023

Authors

Basel Shbita, Craig A Knoblock, Weiwei Duan, Yao-Yi Chiang, Johannes H Uhl, Stefan Leyk

Journal

Semantic Web

Volume

14

Issue

3

Pages

527-549

Publisher

IOS Press