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}
}