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The KnowWhereGraph ontology

Authors: Cogan Shimizu; Shirly Stephen; Adrita Barua; Ling Cai; Antrea Christou; Kitty Currier; Abhilekha Dalal; +17 Authors

The KnowWhereGraph ontology

Abstract

KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, crop and land-cover types, demographics, and human health, various place and region identifiers, among other themes. These have been leveraged through the graph by a variety of applications to address challenges in food security and agricultural supply chains; sustainability related to soil conservation practices and farm labor; and delivery of emergency humanitarian aid following a disaster. In this paper, we introduce the ontology that acts as the schema for KnowWhereGraph. This broad overview provides insight into the requirements and design specifications for the graph and its schema, including the development methodology (modular ontology modeling) and the resources utilized to implement, materialize, and deploy KnowWhereGraph with its end-user interfaces and public query SPARQL endpoint.

Keywords

FOS: Computer and information sciences, ZA3040-5185, Ontology, Computer Science - Artificial Intelligence, 102001 Artificial Intelligence, Modular ontology modeling, Spatially enabled knowledge graphs, Artificial Intelligence (cs.AI), SDG 3 - Good Health and Well-being, T58.6-58.62, 102001 Artificial intelligence, SDG 3 – Gesundheit und Wohlergehen, SDG 13 – Maßnahmen zum Klimaschutz, SDG 13 - Climate Action, Management information systems, SDG 2 – Kein Hunger, SDG 2 - Zero Hunger, Information resources (General)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold