10.5281/zenodo.2159723
https://zenodo.org/records/2159723
oai:zenodo.org:2159723
Färber, Michael
Michael
Färber
0000-0001-5458-8645
Karlsruhe Institute of Technology
The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data
Zenodo
2018
Scholarly Data
Digitial Libraries
RDF
Knowledge Graph
Linked Open Data
Academia
2018-12-10
10.5281/zenodo.2159722
https://zenodo.org/communities/scholarly-data
https://zenodo.org/communities/digital-libraries
https://zenodo.org/communities/linkeddata
2018-11-09
Open Data Commons Attribution License v1.0
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}
}