Document Type
Conference Proceeding
Publication Date
2023
Abstract
KnowWhereGraph is one of the largest fully publicly available spatially enabled knowledge graphs. It includes data 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, 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. This paper showcases the KnowWhereGraph ontology, which acts as the schema for the KnowWhereGraph. We discuss how it enables the powerful spatial and semantic integration across these datasets, our validation paradigm, and the applications it supports.
Repository Citation
Shimizu, C.,
Stephen, S.,
Zhu, R.,
Currier, K.,
Schildhauer, M.,
Rehberger, D.,
Hitzler, P.,
Janowicz, K.,
Fisher, C. K.,
Mahdavinejad, M. S.,
Christou, A.,
Barua, A.,
Dalal, A.,
Norouzi, S. S.,
Liu, Z.,
Shi, M.,
Cai, L.,
Mai, G.,
Wang, Z.,
& Tian, Y.
(2023). The KnowWhereGraph Ontology: A Showcase. CEUR Workshop Proceedings, 3637.
https://corescholar.libraries.wright.edu/cse/717

Comments
This work is licensed under CC BY 4.0