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Microsoft Academic Knowledge Graph

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

Contact persons: Michael Färber

http://ma-graph.org

Research group: Web Science

Publication date: 10 Dezember 2018


Description

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. What exactly do we provide? 1. Periodically updated RDF dump files of the whole Microsoft Academic Knowledge Graph. 2. URI resolution of the Microsoft Academic Knowledge Graph within the Linked Open Data. 3. A publicly accessible SPARQL endpoint containing the latest Microsoft Academic Knowledge Graph data. 4. HTML page descriptions of resources in the Microsoft Academic Knowledge Graph via pubby. 5. Entity embeddings for all papers in the Microsoft Academic Knowledge Graph.


Contributors
Michael Färber


Publications

inproceedings
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), Seiten: 113--129, Springer
(Details)


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