Editor’s note, May 4, 2021 – In a recent blog post (opens in new tab), it was announced the Microsoft Academic website and underlying APIs will be retired on Dec. 31, 2021.
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 (opens in new tab). The graph is currently being updated on a bi-weekly basis until the end of the calendar year 2021. See our blog post (opens in new tab) for more information.
Access the Microsoft Academic Graph
Microsoft Academic Graph (MAG) on Azure Storage (AS)
For analytic and research usage scenarios, we offer an automated distribution service that uploads new versions of MAG to Azure Storage accounts. This option enables you to access the entire knowledge graph in an efficient and highly private manner. Please see Microsoft Academic Graph (opens in new tab) documentation for details.Not sure what insights MAG can provide through analytics?
- Samples of analytics and visualization using Data Lake Analytics (opens in new tab)
- In-depth example of using Data Lake Analytics and Power BI to provide insights about ECCV (opens in new tab), an academic conference in the field of computer vision
- Watch our webinar on Microsoft Academic Services (opens in new tab) to get an overview of MAG and its available APIs
Microsoft Academic Knowledge API
For demonstration and lightweight usage scenarios, we provide a REST-based Academic Knowledge API (opens in new tab) available through Cognitive Services Labs. The API is free, but there are a monthly quota and traffic throttles. The calls are routed through the public internet, and the callers have to share the resources.
Microsoft Academic Knowledge Exploration Service (MAKES)
MAKES is a portable version of the Academic Knowledge API that can be deployed and setup on private Azure subscriptions. Similar to MAG on AS, we offer an automated distribution service that uploads everything you need to setup and deploy Azure resources to host private instances of the Academic Knowledge API. The private instances are not rate limited and can be scaled up to more powerful hardware configurations based on required performance scenarios. Please see Microsoft Academic Knowledge Exploration Service (opens in new tab) documentation for 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
Bo-June (Paul) Hsu
Principal Data Scientist
Principal Software Development Engineer, Microsoft Academic Services
Data Scientist II
Principal Software Engineering Lead