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We present SemOpenAlex, an extensive RDF knowledge graph that contains over26 billion triples about scientific publications and their associated entities,such as authors, institutions, journals, and concepts. SemOpenAlex is licensedunder CC0, providing free and open access to the data. We offer the datathrough multiple channels, including RDF dump files, a SPARQL endpoint, and asa data source in the Linked Open Data cloud, complete with resolvable URIs andlinks to other data sources. Moreover, we provide embeddings for knowledgegraph entities using high-performance computing. SemOpenAlex enables a broadrange of use-case scenarios, such as exploratory semantic search via ourwebsite, large-scale scientific impact quantification, and other forms ofscholarly big data analytics within and across scientific disciplines.Additionally, it enables academic recommender systems, such as recommendingcollaborators, publications, and venues, including explainability capabilities.Finally, SemOpenAlex can serve for RDF query optimization benchmarks, creatingscholarly knowledge-guided language models, and as a hub for semanticscientific publishing.

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples