Abstract
We extend YAGO2 with geospatial information represented by geometries (e.g., lines, polygons, multipolygons, etc.) encoded by Open Geospatial Consortium standards. The new geospatial information comes from official sources such as the administrative divisions of countries but also from volunteered open data of OpenStreetMap. The resulting knowledge graph is currently the richest in terms of geospatial information publicly available, open source, knowledge graph.
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CITATION STYLE
Karalis, N., Mandilaras, G., & Koubarakis, M. (2019). Extending the YAGO2 Knowledge Graph with Precise Geospatial Knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11779 LNCS, pp. 181–197). Springer. https://doi.org/10.1007/978-3-030-30796-7_12
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