Climate Knowledge Graph — A Knowledge Graph for the Intergovernmental Panel on Climate Change's (IPCC) Sixth Assessment Report (AR6)

Problem: A text mountain The IPCC's Sixth Assessment Report (AR6) is the world's most authoritative climate science summary, aiming to inform global policy through history's most comprehensive literature review. However, the 10,000 page report is not machine-readable. Breaking down the problem Climate Knowledge Graph (CKG) has created an AR6 knowledge graph that breaks down the corpus structure into an entity-relationship model (ER model). This allows data scientists to add semantics data to describe climate science in AR6 making it machine-readable. AR6 ER model (KISS) AR6 ER model has 5 datasets: Structure, bibliographic, authors, glossary, and acronyms. Quantifying AR6, it has: 7,524,958 words, 2,153 image files, 932 authors, 1,274 glossary terms, 1,910 acronyms, and cites 48,400 bibliographic references and 66,834 datasets. KG construction A knowledge graph (KG) has been built to hold AR6’s data and full text. It is available online as Open-Access and FAIR Data. The KG is made with Wikibase and uses MediaWiki for report browsing and has SPARQL and API interfaces. Future work: More-is-more! Extending the KG for figures, references, datasets, and granular edge-metadata.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.23942671
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Climate Knowledge Graph — A Knowledge Graph for the Intergovernmental Panel on Climate Change's (IPCC) Sixth Assessment Report (AR6)

Simon Worthington, Peter Murray‐Rust, Laura Oldenbourg
Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

Climate Knowledge Graph — A Knowledge Graph for the Intergovernmental Panel on Climate Change's (IPCC) Sixth Assessment Report (AR6)

Simon Worthington, Peter Murray‐Rust, Laura Oldenbourg
article en

Abstract

Problem: A text mountain The IPCC's Sixth Assessment Report (AR6) is the world's most authoritative climate science summary, aiming to inform global policy through history's most comprehensive literature review. However, the 10,000 page report is not machine-readable. Breaking down the problem Climate Knowledge Graph (CKG) has created an AR6 knowledge graph that breaks down the corpus structure into an entity-relationship model (ER model). This allows data scientists to add semantics data to describe climate science in AR6 making it machine-readable. AR6 ER model (KISS) AR6 ER model has 5 datasets: Structure, bibliographic, authors, glossary, and acronyms. Quantifying AR6, it has: 7,524,958 words, 2,153 image files, 932 authors, 1,274 glossary terms, 1,910 acronyms, and cites 48,400 bibliographic references and 66,834 datasets. KG construction A knowledge graph (KG) has been built to hold AR6’s data and full text. It is available online as Open-Access and FAIR Data. The KG is made with Wikibase and uses MediaWiki for report browsing and has SPARQL and API interfaces. Future work: More-is-more! Extending the KG for figures, references, datasets, and granular edge-metadata.

Zenodo (CERN European Organization for Nuclear Research)
Technische Informationsbibliothek (TIB) (DE)
Semantic Web and Ontologies
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