TY - JOUR
T1 - The KnowWhereGraph Ontology: A Showcase
T2 - Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023
AU - Shimizu, Cogan
AU - Stephen, Shirly
AU - Zhu, Rui
AU - Currier, Kitty
AU - Schildhauer, Mark
AU - Rehberger, Dean
AU - Hitzler, Pascal
AU - Janowicz, Krzysztof
AU - Fisher, Colby K.
AU - Mahdavinejad, Mohammad Saeid
AU - Christou, Antrea
AU - Barua, Adrita
AU - Dalal, Abhilekha
AU - Norouzi, Sanaz Saki
AU - Liu, Zilong
AU - Shi, Meilin
AU - Cai, Ling
AU - Mai, Gengchen
AU - Wang, Zhangyu
AU - Tian, Yuanyuan
N1 - Publisher Copyright:
© 2023 Copyright for this paper by its authors.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Geo-Enrichment
KW - Geospatial Knowledge Graphs
KW - Modular Ontology Modeling
KW - Ontology Engineering
UR - https://corescholar.libraries.wright.edu/cse/717
UR - https://www.scopus.com/pages/publications/85185195412
UR - https://www.scopus.com/pages/publications/85185195412#tab=citedBy
M3 - Conference article
AN - SCOPUS:85185195412
SN - 1613-0073
VL - 3637
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 19 July 2023 through 20 July 2023
ER -