The KnowWhereGraph ontology

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.

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Publication Details

Journal
Journal of Web Semantics
Published
2024-12-11
DOI
https://doi.org/10.1016/j.websem.2024.100842
Citations
9
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
3.13

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article

The KnowWhereGraph ontology

Joseph Zalewski, Pascal Hitzler, Mark Schildhauer, Dean Rehberger et al.
9 citations
Journal of Web Semantics
Semantic Web and Ontologies
3.13
article

The KnowWhereGraph ontology

Joseph Zalewski, Pascal Hitzler, Mark Schildhauer, Dean Rehberger, Shirly Stephen, Mohammad Saeid Mahdavinejad, Zilong Liu, Sanaz Saki Norouzi, Adrita Barua, Gengchen Mai, Meilin Shi, Rui Zhu, Abhilekha Dalal, Zhangyu Wang, Cogan Shimizu, Colby K. Fisher, Kitty Currier, Ling Cai, Wenwen Li, Yuanyuan Tian, Lu Zhou, Sizhe Wang, Antrea Christou, Krzysztof Janowicz
article en
9 citations

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.

Journal of Web SemanticsVol. 84
University of Vienna (AT), University of California, Santa Barbara (US), Kansas State University (US), Wright State University (US), National Center for Ecological Analysis and Synthesis (US), Hydrosolutions (Switzerland) (CH), Arizona State University (US), The University of Texas at Austin (US), Michigan State University (US)
National Science Foundation
Openalex Percentile: Top 7%
Semantic Web and Ontologies
3.13
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