Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions
Authors:
- Kanishka SilvaKSKanishka Silva
- Marcel R. AckermannMAMarcel R. Ackermann
- Heike FlieglHFHeike Fliegl
- Genet-Asefa GeseseGGGenet-Asefa Gesese
- Fidan LimaniFLFidan Limani
- Philipp MayrPMPhilipp Mayr
- Peter MutschkePMPeter Mutschke
- Allard OelenAOAllard Oelen
- Muhammad Asif SuryaniMSMuhammad Asif Suryani
- Sharmila UpadhyayaSUSharmila Upadhyaya
- Benjamin ZapilkoBZBenjamin Zapilko
- Harald SackHarald Sack
Preprint
Abstract
As research in Artificial Intelligence and Data Science continues to grow in volume and complexity, it becomes increasingly difficult to ensure transparency, reproducibility, and discoverability. To address these challenges, as research artifacts should be understandable and usable by machines, the NFDI4DataScience consortium is developing and providing Research Knowledge Graphs (RKGs). Building upon earlier works, this paper presents recent progress in creating semantically rich RKGs using standardized ontologies, shared vocabularies, and automated Information Extraction techniques. Key achievements include the development of the NFDI4DS ontology, metadata standards, tools, and services designed to support the FAIR principles, as well as community-led projects and various implementations of RKGs. Together, these efforts aim to capture and connect the complex relationships between datasets, models, software, and scientific publications.Keywords
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This publication has 13 references indexed in Scilit:
- Research Knowledge Graphs: The Shifting Paradigm of Scholarly Information Representation2025
- Exploration of Hugging Face Models by Heterogeneous Information Network and Linking Across Scholarly Repositories2025
- SOMD@NSLP2024: Overview and Insights from the Software Mention Detection Shared Task2024
- AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence2020
- TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic2020
- ClaimsKG: A Knowledge Graph of Fact-Checked Claims2019
- Advancing the State of the Art in Clinical Natural Language Processing through Shared TasksYearbook of Medical Informatics, 2018
- TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets2018
- The FAIR Guiding Principles for scientific data management and stewardshipScientific Data, 2016
- An Overview of Microsoft Academic Service (MAS) and Applications2015