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Background Imagery - County Map of the USA with a vectored web of lines and nodes wrapping across the country, signifying connections

Inspired by Esri's GeoEnrichment services and the Linked Data cloud, KnowWhereGraph starts with the concept of GeoEnrichment, augments it with Semantic Web and Knowledge Graph (KG) technology, and proposes the idea of Knowledge Graph based GeoEnrichment which aims at semantically enriching a given geospatial dataset with information from a cross-domain, up-to-date (Geographic) Knowledge Graph, namely KnowWhereGraph, from within a GIS \cite{mai2019deeply}. Compared with Esri's GeoEnrichment, our KG-based GeoEnrichment has several advantages. KnowWhereGraph, supported by Semantic Web technology, is structured in a semantic-explicit manner. Users can easily interpret the meaning of a place type or other vocabulary, including relations, and access additional information and metadata about a (geographic) entity by dereferencing their URLs \cite{regalia2017phuzzy}. That is, this semantic graph data provides users with "things not strings". Additionally, due to the flexible nature of our underlying data structure, KnowWhereGraph integrates data from different domains and allows users to enrich their geospatial data with information about hurricanes, wildfires, debris flows, farmland types, soil types, earthquakes, and so on. This furthermore allows users to easily traverse KnowWhereGraph from within a GIS and seamlessly navigate from one domain to another domain Instead of merely focusing on properties such as a fires burn area, we are the first to link fires to place identifiers, related disasters such as landslides caused by them, and so on. Finally, because of its open-ended nature, it is rather easy to keep the graph up-to-date compared with standard, tabular GIS data.

(a) kwg-geoenrichment-geosparql-2.png
(b) kwg-geoenrichment-propenrich-2.png