Extending the YAGO2 Knowledge Graph with Precise Geospatial Knowledge

被引：25

作者：

Karalis, Nikolaos ^{[1
]}

Mandilaras, Georgios ^{[1
]}

Koubarakis, Manolis ^{[1
]}

机构：

[1] Natl & Kapodistrian Univ Athens, Dept Informat & Telecommun, Athens, Greece

来源：

SEMANTIC WEB - ISWC 2019, PT II | 2019年 / 11779卷

关键词：

Knowledge graphs; YAGO; Geospatial knowledge;

D O I：

10.1007/978-3-030-30796-7_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：181 / 197

页数：17

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