The KnowWhereGraph Ontology

Cogan Shimizu, Shirly Stephe, Adrita Barua, Ling Cai, Antrea Christou +19 more
10/17/2024
cs.AI

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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.

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Cite this paper

@article{shimizu2024knowwheregraph,
  title  = {The KnowWhereGraph Ontology},
  author = {Cogan Shimizu and Shirly Stephe and Adrita Barua and Ling Cai and Antrea Christou and Kitty Currier and Abhilekha Dalal and Colby K. Fisher and Pascal Hitzler and Krzysztof Janowicz and Wenwen Li and Zilong Liu and Mohammad Saeid Mahdavinejad and Gengchen Mai and Dean Rehberger and Mark Schildhauer and Meilin Shi and Sanaz Saki Norouzi and Yuanyuan Tian and Sizhe Wang and Zhangyu Wang and Joseph Zalewski and Lu Zhou and Rui Zhu},
  year   = {2024},
  eprint = {2410.13948},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.13948v1}
}

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