The Climate Change Knowledge Graph: Supporting Climate Services
Miguel Ceriani, Fiorela Ciroku, Alessandro Russo, Massimiliano Schembri, Fai Fung, Neha Mittal, Vito Trianni, Andrea Giovanni Nuzzolese

TL;DR
The paper presents a knowledge graph that integrates climate simulation data to improve data retrieval and support climate-related decision-making.
Contribution
It introduces a novel climate change knowledge graph with an ontology that enables complex querying of climate simulation datasets.
Findings
Enables complex queries on climate models and data
Facilitates better exploration of climate datasets
Supports informed climate decision-making
Abstract
Climate change impacts a broad spectrum of human resources and activities, necessitating the use of climate models to project long-term effects and inform mitigation and adaptation strategies. These models generate multiple datasets by running simulations across various scenarios and configurations, thereby covering a range of potential future outcomes. Currently, researchers rely on traditional search interfaces and APIs to retrieve such datasets, often piecing together information from metadata and community vocabularies. The Climate Change Knowledge Graph is designed to address these challenges by integrating diverse data sources related to climate simulations into a coherent and interoperable knowledge graph. This innovative resource allows for executing complex queries involving climate models, simulations, variables, spatio-temporal domains, and granularities. Developed with input…
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Taxonomy
TopicsResearch Data Management Practices · Scientific Computing and Data Management · Semantic Web and Ontologies
