The KnowWhereGraph Ontology: A Showcase

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

The KnowWhereGraph Ontology: A Showcase

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

^*Corresponding author for this work

School of Geographical Sciences

Research output: Contribution to conference › Conference Paper › peer-review

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.

Original language	English
Publication status	Published - 2023
Event	Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023 - Sherbrooke, Canada Duration: 19 Jul 2023 → 20 Jul 2023

Conference

Conference	Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023
Country/Territory	Canada
City	Sherbrooke
Period	19/07/23 → 20/07/23

Bibliographical note

Publisher Copyright:
© 2023 Copyright for this paper by its authors.

Keywords

Geo-Enrichment
Geospatial Knowledge Graphs
Modular Ontology Modeling
Ontology Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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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. Paper presented at Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023, Sherbrooke, Canada.

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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.",

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

note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors.; Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023 ; Conference date: 19-07-2023 Through 20-07-2023",

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Shimizu, C, Stephen, S, Zhu, R, Currier, K, Schildhauer, M, Rehberger, D, Hitzler, P, Janowicz, K, Fisher, CK, Mahdavinejad, MS, Christou, A, Barua, A, Dalal, A, Norouzi, SS, Liu, Z, Shi, M, Cai, L, Mai, G, Wang, Z & Tian, Y 2023, 'The KnowWhereGraph Ontology: A Showcase', Paper presented at Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023, Sherbrooke, Canada, 19/07/23 - 20/07/23.

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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

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 - http://www.scopus.com/inward/record.url?scp=85185195412&partnerID=8YFLogxK

M3 - Conference Paper

AN - SCOPUS:85185195412

Y2 - 19 July 2023 through 20 July 2023

ER -

The KnowWhereGraph Ontology: A Showcase

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Handle.net

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