The KnowWhereGraph ontology

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

doi:10.1016/j.websem.2024.100842

The KnowWhereGraph ontology

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

Institut für Geographie und Regionalforschung

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

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.

Originalsprache	Englisch
Aufsatznummer	100842
Fachzeitschrift	Journal of Web Semantics
Jahrgang	84
DOIs	https://doi.org/10.1016/j.websem.2024.100842
Publikationsstatus	Veröffentlicht - Jan. 2025

ÖFOS 2012

102001 Artificial Intelligence

UN SDGs

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10.1016/j.websem.2024.100842

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Shimizu, C., Stephen, S., Barua, A., Cai, L., Christou, A., Currier, K., Dalal, A., Fisher, C. K., Hitzler, P., Janowicz, K., Li, W., Liu, Z., Mahdavinejad, M. S., Mai, G., Rehberger, D., Schildhauer, M., Shi, M., Norouzi, S. S., Tian, Y., ... Zhu, R. (2025). The KnowWhereGraph ontology. Journal of Web Semantics, 84, Artikel 100842. https://doi.org/10.1016/j.websem.2024.100842

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title = "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 = "Modular ontology modeling, Ontology, Spatially enabled knowledge graphs",

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

note = "Publisher Copyright: {\textcopyright} 2024",

year = "2025",

month = jan,

doi = "10.1016/j.websem.2024.100842",

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volume = "84",

journal = "Journal of Web Semantics",

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Shimizu, C, Stephen, S, Barua, A, Cai, L, Christou, A, Currier, K, Dalal, A, Fisher, CK, Hitzler, P, Janowicz, K, Li, W, Liu, Z, Mahdavinejad, MS, Mai, G, Rehberger, D, Schildhauer, M, Shi, M, Norouzi, SS, Tian, Y, Wang, S, Wang, Z, Zalewski, J, Zhou, L & Zhu, R 2025, 'The KnowWhereGraph ontology', Journal of Web Semantics, Jg. 84, 100842. https://doi.org/10.1016/j.websem.2024.100842

TY - JOUR

T1 - The KnowWhereGraph ontology

AU - Shimizu, Cogan

AU - Stephen, Shirly

AU - Barua, Adrita

AU - Cai, Ling

AU - Christou, Antrea

AU - Currier, Kitty

AU - Dalal, Abhilekha

AU - Fisher, Colby K.

AU - Hitzler, Pascal

AU - Janowicz, Krzysztof

AU - Li, Wenwen

AU - Liu, Zilong

AU - Mahdavinejad, Mohammad Saeid

AU - Mai, Gengchen

AU - Rehberger, Dean

AU - Schildhauer, Mark

AU - Shi, Meilin

AU - Norouzi, Sanaz Saki

AU - Tian, Yuanyuan

AU - Wang, Sizhe

AU - Wang, Zhangyu

AU - Zalewski, Joseph

AU - Zhou, Lu

AU - Zhu, Rui

PY - 2025/1

Y1 - 2025/1

N2 - 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.

AB - 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.

KW - Modular ontology modeling

KW - Ontology

KW - Spatially enabled knowledge graphs

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M3 - Article

AN - SCOPUS:85211723844

SN - 1570-8268

VL - 84

JO - Journal of Web Semantics

JF - Journal of Web Semantics

M1 - 100842

ER -

The KnowWhereGraph ontology

Abstract

ÖFOS 2012

UN SDGs

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