The KnowWhereGraph Ontology
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arXiv
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| author | Shimizu, Cogan Stephe, Shirly Barua, Adrita Cai, Ling Christou, Antrea Currier, Kitty Dalal, Abhilekha Fisher, Colby K. Hitzler, Pascal Janowicz, Krzysztof Li, Wenwen Liu, Zilong Mahdavinejad, Mohammad Saeid Mai, Gengchen Rehberger, Dean Schildhauer, Mark Shi, Meilin Norouzi, Sanaz Saki Tian, Yuanyuan Wang, Sizhe Wang, Zhangyu Zalewski, Joseph Zhou, Lu Zhu, Rui |
| author_facet | Shimizu, Cogan Stephe, Shirly Barua, Adrita Cai, Ling Christou, Antrea Currier, Kitty Dalal, Abhilekha Fisher, Colby K. Hitzler, Pascal Janowicz, Krzysztof Li, Wenwen Liu, Zilong Mahdavinejad, Mohammad Saeid Mai, Gengchen Rehberger, Dean Schildhauer, Mark Shi, Meilin Norouzi, Sanaz Saki Tian, Yuanyuan Wang, Sizhe Wang, Zhangyu Zalewski, Joseph Zhou, Lu Zhu, Rui |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_13948 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The KnowWhereGraph Ontology Shimizu, Cogan Stephe, Shirly Barua, Adrita Cai, Ling Christou, Antrea Currier, Kitty Dalal, Abhilekha Fisher, Colby K. Hitzler, Pascal Janowicz, Krzysztof Li, Wenwen Liu, Zilong Mahdavinejad, Mohammad Saeid Mai, Gengchen Rehberger, Dean Schildhauer, Mark Shi, Meilin Norouzi, Sanaz Saki Tian, Yuanyuan Wang, Sizhe Wang, Zhangyu Zalewski, Joseph Zhou, Lu Zhu, Rui Artificial Intelligence 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. |
| title | The KnowWhereGraph Ontology |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2410.13948 |