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).

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.

The provided data is based on the MAG data as of 2019-12-26.

Besides the MAKG core data, also the owl:sameAs-links to Wikidata and OpenCitations were updated.

More information can be found at http://ma-graph.org/ and in the 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}
}