#ClimateKG will be used for the #IPCC #AR6 corpus of 7 main reports of 10,000 pages. For corpus browsing, republishing, community enrichment. The constructed knowledge graph in Wikibase/MediaWiki allows browsing using the familiar #MediaWiki interface with #Wikidata enhancements like infoboxes, and #scholia like interfaces https://scholia.toolforge.org/ | Republishing is intended for sharing or reviewing search results on climate topics | Enrichment is for data scientists to make use of reports >>>
Scholia

Scholia is a service that creates visual scholarly profiles for topic, people, organizations, species, chemicals, etc using bibliographic and other information in Wikidata.

Scholia
#ClimateKG - the #IPCC #AR6 reports are a pretty big beast. Authored over 7 years they are the ultimate #statusupdate of planet earth. Quant data: https://doi.org/10.5281/zenodo.17521936 - Reports 7, Pages 10,047, Words 8,047,000, Citations 48,400, Data 66,834, Figures 1,672, Authors 1,106, Glossary 925, Acronyms 3,041, Lang 5+. The entity relationship model is need to map the parts of the reports, relations, then to allow markup of entities, concepts, etc
IPCC AR6 Quantification Summary

IPCC AR6 quantification summary

Zenodo

#ClimateKG project is developing an Entity Relation Model to represent the syntactic structure of a scientific document in a knowledge graph.

We are reaching out to ask for recommendations of projects, literature, methods, etc.

The ClimateKG will hold #IPCC #AR6 corpus of 7 reports for browsing, republishing, enrichment.

Knowledge graph uses #Wikibase / #MediaWiki

Write up: https://github.com/TIBHannover/climate-knowledge-graph/issues/51

IPCC AR6 corpus: https://doi.org/10.5281/zenodo.17516065

ClimateKG project: https://tibhannover.github.io/climate-knowledge-graph

Entity relationship model v1: Scientific document Β· Issue #51 Β· TIBHannover/climate-knowledge-graph

An entity relationship model for a scientific document ClimateKG project is working on developing an entity relationship model (ERM) for reports from the IPCC AR6 Report Cycle. The 7 reports from A...

GitHub
Workshop #semanticClimate : AI-Assisted Literature Review at WII, Dehradun, North India - @ Wildlife Institute of India (WII) https://semanticclimate.github.io/p/en/events/ALR_bio/ Session 1 : Fundamentals of AI and Natural Language Processing (NLP)
Session 2 : Workspace Demo: AI over NLP using our Semantic Toolkit
Session 3 : DIY! AI over Your Own Literature Metadata #ClimateKG
AI-Assisted Literature Review at WII, Dehradun | #semanticClimate

One Day Hands-on Workshop on AI over NLP using semantic toolkits

🧡 8/8 - At TIB #ClimateKG is based in the Open Science Lab @tibosl and makes use of expertise from the NFDI4Culture @nfdi4culture
which are clustered around #LOD and @Wikibase (cultural heritage consortium of the larger German National Research Data Infrastructure Consortium) projects: #Wikibase4Research, Computational Publishing Service #CPS and #Antelope (terminology service). The following services can be found no the NFDI4Culture website - https://nfdi4culture.de/services.html
Services - NFDI4Culture

🧡 7/8 - #ClimateKG TIB #knowledgegraph expertise further supports the work - ClimateKG partners with and is supported in knowledge graph expertise by Lab Knowledge Infrastructures led by Dr Markus Stocker. https://www.tib.eu/en/research-development/research-groups-and-labs/knowledge-infrastructures | One project of the lab is looking at how fully computational papers can be created, athored as #reborn papers with specific IPCC examples 'The global impacts of COVID-19 lockdowns on urban air pollution: A critical review and recommendations' https://doi.org/10.48366/dvy9yr04
Knowledge Infrastructures

Covering concepts, implementations and applications, the junior research group, led by Dr. Markus Stocker, advances software artifacts in their ability to support researchers in the generation, sharing, and maintenance of scientific knowledge.

🧡 6/8 - #ClimateKG is based at TIB and makes use of the knowledge graph work going on in T&D. TIB is one of the largest science libraries in the world and is a global hub for knowledge graph R&D β€” service development, and infrastructure provision β€” especially the Open Research Knowledge Graph (ORKG). https://orkg.org/ - as an examples ORKG Curation grants https://orkg.org/page/curation-grants-2024-call-for-applications | AI assisted search https://ask.orkg.org/ #climatechange #knowledge #graphs https://ask.orkg.org/s/j5hiede20dy1jni
Open Research Knowledge Graph

🧡 3/8 - ClimateKG comes directly out of the five year old #semanticClimate open research group founded by Dr. Gitanjali Yadav of the National Institute of Plant Genome Research #NIPGR Delhi, Dr Peter Murray-Rust of Cambridge University, and Simon Worthington (TIB) which works on software tool development for semantic enrichment. #ClimateKG. Photo: National Conclave on AI and Ethics - https://semanticclimate.github.io/p/en/past-events/AI_Ethics/
National Conclave on AI and Ethics | #semanticClimate

AI and ETHICS | Perspectives from Industry and Academia

🧡 2/8 - Climate Knowledge Graph is a development project for a service to structuring large climate change corpora to be machine readable, for re-publishing, and AI LLM search β€” all using open science methods. #ClimateKG - see an outline here https://github.com/TIBHannover/climate-knowledge-graph
GitHub - TIBHannover/climate-knowledge-graph: A publishing knowledge graph for UN IPCC reports

A publishing knowledge graph for UN IPCC reports. Contribute to TIBHannover/climate-knowledge-graph development by creating an account on GitHub.

GitHub
job offer at @tibhannover working on building a knowedge graph for UN IPCC Reports - Software Developer (m/f/d) https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-20-2025 deadline April 20 #FediHire #fedijobs #getfedihired - Some context and background on the project #ClimateKG #semanticClimate #knowledgegraph 🧡 1/8
Software Developer (m/f/d)

Job advertisement No. 20/2025; application deadline: 20.04.2025