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Submission declined on 25 April 2026 by ChrysGalley (talk).
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Comment: We need more independent sourcing that this graph is notable. Github isn't OK as a source and the other 2 sources do not appear to be independent. ChrysGalley (talk) 09:52, 25 April 2026 (UTC)
SemOpenAlex is an open knowledge graph for scholarly metadata. It is derived from the bibliographic database OpenAlex and represents scholarly entities and relations in the Resource Description Framework (RDF).[1]
According to its original publication, SemOpenAlex contains more than 26 billion RDF triples about scholarly works and related entities, including authors, institutions, venues, concepts and publishers. It is released under the CC0 licence and is provided through RDF dumps, a SPARQL endpoint, dereferenceable URIs and links to other datasets in the Linked Open Data cloud.[1]
SemOpenAlex has been discussed and reused in research on scholarly knowledge graphs and question answering. Erten et al. studied the SemOpenAlex concept hierarchy and proposed a method for refining noisy SKOS relations in its concept ontology.[2] It has also been used as a structured data source in scholarly question-answering research and in the Scholarly QALD task at ISWC 2024.[3][4]
See also
editReferences
edit- 1 2 Färber, Michael; Lamprecht, David; Krause, Johan; Aung, Linn; Haase, Peter (2023). "SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples". The Semantic Web – ISWC 2023. Lecture Notes in Computer Science. Vol. 14266. Cham: Springer. pp. 94–112. doi:10.1007/978-3-031-47243-5_6.
- ↑ Erten, Özge; Mehryar, Shervin; Xiong, Bo; Çelebi, Remzi; Brewster, Christopher (2024). "Refining SemOpenAlex Concept Ontology: A Constraint-Aware Approach via Knowledge Graph Embeddings and SKOS Constraints" (PDF). Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2024. CEUR Workshop Proceedings. Vol. 3890. CEUR-WS. pp. 56–65.
- ↑ Taffa, Tilahun Abedissa; Usbeck, Ricardo; Ngomo, Axel-Cyrille Ngonga (2025). SH-CoDE: Scholarly Hybrid Complex Question Decomposition and Execution (PDF).
- ↑ "Scholarly QALD at ISWC 2024". NFDI4DS. 19 June 2024. Retrieved 3 May 2026.
- provide significant coverage: discuss the subject in detail, not just brief mentions or routine announcements;
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