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

We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers.

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}
}