The KnowWhereGraph ontology
- Autor(en)
- 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
- Abstrakt
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.
- Organisation(en)
- Institut für Geographie und Regionalforschung
- Externe Organisation(en)
- Wright State University, University of California, Santa Barbara, Kansas State University, Hydronos Labs, Arizona State University, University of Texas, Austin, Michigan State University, National Center for Ecological Analysis & Synthesis, University of Bristol
- Journal
- Journal of Web Semantics
- Band
- 84
- ISSN
- 1570-8268
- DOI
- https://doi.org/10.1016/j.websem.2024.100842
- Publikationsdatum
- 01-2025
- Peer-reviewed
- Ja
- ÖFOS 2012
- 102001 Artificial Intelligence
- Schlagwörter
- ASJC Scopus Sachgebiete
- Software, Human-computer interaction, Computer Networks and Communications
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/32cd3022-ca92-4271-983f-906e543d3ad6