Microsoft Academic Graph

Microsoft Academic Graph

Established: June 5, 2015

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Microsoft Research blog

Overview

The Microsoft Academic Graph is a heterogeneous graph containing scientific publication records, citation relationships between those publications, as well as authors, institutions, journals, conferences, and fields of study. This graph is used to power experiences in Bing, Cortana, Word, and in Microsoft Academic. The graph is currently being updated on a weekly basis.

Access the Microsoft Academic Graph

The Microsoft Academic Graph can be accessed in 2 ways:

  • For lightweight use and trial,  please use the Microsoft Cognitive Services Academic Knowledge API available through Cognitive Services Labs. While API use is free, this method limits the number of API calls per month and amount of data per call.
  • For power usage, we offer access through Azure Data Lake Store (ADLS). This option enables you to access the entire knowledge graph in an efficient and highly private manner. Please email academicapi at microsoft dot com to inquire about getting started with ADLS. With ADLS, you will incur nominal costs for data transfers, storage costs that vary depending on how much data you keep in your account, and data processing costs should you decide to use Azure tools to work with the data. Please see ADLS pricing for details.

Azure resources are available

We encourage researchers working with this data to apply for an Azure for Research Award. Details are available on the Azure for Research page. Please include the hashtag #academicgraph in your submission title for easier tracking.

Additionally, a snapshot of the graph has been made available for download by Open Academic Society. Please see Open Academic Graph for more details.

We kindly request that any published research that makes use of this data cites our paper listed below:

Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839

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