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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 historical maps into contextualized spatio-temporal KGs. The resulting graphs can be easily queried and visualized to understand the changes in different regions over time. We evaluate our technique on railroad networks and wetland areas extracted from the United States Geological Survey (USGS) historical topographic maps for several regions over multiple map sheets and editions. We also demonstrate how the automatically constructed linked data (i.e., KGs) enable effective querying and visualization of changes over different points in time.<\/jats:p>","DOI":"10.3233\/sw-222918","type":"journal-article","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T14:02:23Z","timestamp":1663336943000},"page":"527-549","source":"Crossref","is-referenced-by-count":8,"title":["Building spatio-temporal knowledge graphs from vectorized topographic historical maps"],"prefix":"10.1177","volume":"14","author":[{"given":"Basel","family":"Shbita","sequence":"first","affiliation":[{"name":"Information Sciences Institute, University of Southern California, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig A.","family":"Knoblock","sequence":"additional","affiliation":[{"name":"Information Sciences Institute, University of Southern California, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiwei","family":"Duan","sequence":"additional","affiliation":[{"name":"Spatial Sciences Institute, University of Southern California, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao-Yi","family":"Chiang","sequence":"additional","affiliation":[{"name":"Spatial Sciences Institute, University of Southern California, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes H.","family":"Uhl","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Colorado Boulder, CO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Leyk","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Colorado Boulder, CO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"5","key":"10.3233\/SW-222918_ref1","doi-asserted-by":"publisher","first-page":"863","DOI":"10.3233\/SW-190362","article-title":"Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation","volume":"10","author":"Alirezaie","year":"2019","journal-title":"Semantic Web"},{"key":"10.3233\/SW-222918_ref2","doi-asserted-by":"publisher","DOI":"10.5441\/002\/edbt.2019.44"},{"issue":"12\u201313","key":"10.3233\/SW-222918_ref3","first-page":"119","article-title":"GeoKnow: Making the web an exploratory place for geospatial knowledge","volume":"96","author":"Athanasiou","year":"2014","journal-title":"ERCIM News"},{"key":"10.3233\/SW-222918_ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"10.3233\/SW-222918_ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04930-9_46"},{"issue":"4","key":"10.3233\/SW-222918_ref6","doi-asserted-by":"publisher","first-page":"355","DOI":"10.3233\/SW-2012-0065","article-title":"Geosparql: Enabling a geospatial semantic web","volume":"3","author":"Battle","year":"2011","journal-title":"Semantic Web Journal"},{"key":"10.3233\/SW-222918_ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274944"},{"issue":"1","key":"10.3233\/SW-222918_ref8","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1080\/17538947.2014.966164","article-title":"A geospatial search engine for discovering multi-format geospatial data across the web","volume":"9","author":"Bone","year":"2016","journal-title":"International Journal of Digital Earth"},{"key":"10.3233\/SW-222918_ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66908-3"},{"issue":"1","key":"10.3233\/SW-222918_ref10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2557423","article-title":"A survey of digital map processing techniques","volume":"47","author":"Chiang","year":"2014","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"6","key":"10.3233\/SW-222918_ref11","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1016\/0097-8493(94)90007-8","article-title":"Modelling topological spatial relations: Strategies for query processing","volume":"18","author":"Clementini","year":"1994","journal-title":"Computers & Graphics"},{"key":"10.3233\/SW-222918_ref12","unstructured":"W. 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