mlsanityData to 7 Oct 2026

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples

arXiv 2308.03671 ↗First posted 7 Aug 2023cs.DL cs.AIcited by 12

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Abstract (arXiv)

We present SemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institutions, journals, and concepts. SemOpenAlex is licensed under CC0, providing free and open access to the data. We offer the data through multiple channels, including RDF dump files, a SPARQL endpoint, and as a data source in the Linked Open Data cloud, complete with resolvable URIs and links to other data sources. Moreover, we provide embeddings for knowledge graph entities using high-performance computing. SemOpenAlex enables a broad range of use-case scenarios, such as exploratory semantic search via our website, large-scale scientific impact quantification, and other forms of scholarly big data analytics within and across scientific disciplines. Additionally, it enables academic recommender systems, such as recommending collaborators, publications, and venues, including explainability capabilities. Finally, SemOpenAlex can serve for RDF query optimization benchmarks, creating scholarly knowledge-guided language models, and as a hub for semantic scientific publishing.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 17 of its 59 references that are in the map. First posted on arXiv 7 Aug 2023.

Builds on

17 of 59 references.

References · 17

  1. 2017Graph Attention Networkscited by 8,854
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  5. 2020Knowledge Graphscited by 619
  6. 2020Heterogeneous Graph Transformercited by 581
  7. 2022OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and conceptscited by 166
  8. 2018AceKG: A Large-scale Knowledge Graph for Academic Data Miningcited by 28
  9. 2023unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Networkcited by 24
  10. 2022MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networkscited by 19
  11. 2019OpenCitations, an infrastructure organization for open scholarshipcited by 16
  12. 2020Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academiccited by 11
5 more
  1. 2020Investigating Software Usage in the Social Sciences: A Knowledge Graph Approachcited by 7
  2. 2019Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledgecited by 3
  3. 2023S2abEL: A Dataset for Entity Linking from Scientific Tablescited by 3
  4. 2018PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategiescited by 1
  5. 2020A Glimpse of the First Eight Months of the COVID-19 Literature on Microsoft Academic Graph: Themes, Citation Contexts, and Uncertaintiescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 5; 2025: 2; 2026: 4.

12 papers.