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SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples

Färber, Michael ORCID iD icon 1; Lamprecht, David 1,2; Krause, Johan 1,2; Aung, Linn; Haase, Peter
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract:

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000165481
Veröffentlicht am 12.12.2023
Originalveröffentlichung
DOI: 10.1007/978-3-031-47243-5_6
Scopus
Zitationen: 3
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Buchaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 978-3-031-47242-8
ISSN: 0302-9743, 1611-3349
KITopen-ID: 1000165481
Erschienen in The Semantic Web – ISWC 2023: 22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023, Proceedings, Part II. Ed.: T. Payne
Verlag Springer Nature Switzerland
Seiten 94 – 112
Serie Lecture Notes in Computer Science ; 14266
Vorab online veröffentlicht am 27.10.2023
Nachgewiesen in Dimensions
Scopus
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