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

We provide an updated version of the <strong>Microsoft Academic Knowledge Graph (MAKG)</strong>. The MAKG is a <strong>large RDF knowledge graph </strong>with <strong>over eight billion triples</strong> containing information about scientific <strong>publications</strong> and related entities, such as <strong>authors</strong>, <strong>institutions</strong>, <strong>journals</strong>, and <strong>fields of study</strong>. The provided data is based on the MAG data as of <strong>2020-05-29</strong>. Besides the MAKG core data, also the owl:sameAs-links to Wikidata and OpenCitations were updated. More information can be found at <strong>http://ma-graph.org/</strong> and in the ISWC'19 paper <strong>The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data</strong> (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. <pre><code>@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} } </code></pre>