The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data

We provide an updated version of the Microsoft Academic Knowledge Graph (MAKG.org). The MAKG is a large RDF knowledge graph with over eight billion triples containing information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. Number of instances: Papers: 238,670,900 Papers with URL: 224,325,750 Papers with abstract: 139,227,097 Authors: 243,042,675 / 151,355,324 after autor name disambiguation (both included) Affiliations: 25,767 Journals: 48,942 Conferences: 4,468 Conference Instances: 16,142 Original fields of Study: 740,460 The provided data is based on the MAG data as of 2020-06-19. Besides the MAKG core data, also the owl:sameAs-links to Wikidata were created. More information can be found at https://makg.org/ and in the papers SWJ'21 submission. ISWC'19 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here). If you use the data set, please cite it as follows (see also in DBLP): Michael Färber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. @inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8}