Microsoft Research Webinar Series
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Microsoft Academic Service: Tools to access knowledge in academic literature
At present, the number of academic publications in the world increases by more than 1 million per month, which is equivalent to a new paper every 2.6 seconds. With the rapid growth in rate of publication, it is infeasible for people to digest and keep track of the enormous amount of recently published materials. Fortunately, the power of AI has come to the rescue to help find relevant information.
In this webinar, Microsoft researchers Alvin Chen and Chieh-Han Wu introduce Microsoft Academic Graph (MAG) and Microsoft Academic Knowledge Exploration Service (MAKES). You’ll begin with an introduction to how MAG works, its many applications, and its available APIs. Next, you’ll dive deeper into how MAKES extends the power of MAG for real-time applications at scale and learn the basics for building your own knowledge applications with MAKES.
Used to power experiences in Bing, Cortana, Word, and more, MAG is a heterogeneous knowledge graph not only containing bibliography data (including publication, author, affiliation, journal, conference, and field of study), but also providing AI components, such as Language and Network Similarity APIs, which can help users unleash the power of AI to extract and analyze valuable information from millions of pieces of academic literature.
MAKES is a self-hosted academic services solution that brings MAG data alive. Building knowledge applications can be complex, with multiple pipelines, service, and clients to maintain. MAKES bootstraps these components for MAG and enables users to focus on the core application logic.
During this webinar, you will learn:
- What Microsoft Academic Graph is and its various applications
- How machine readers extract knowledge for MAG
- Which AI components are offered in Microsoft Academic Graph
- What Microsoft Academic Knowledge Exploration Services is and its available APIs
- How to build knowledge applications with MAKES
- How to use the Microsoft Academic core search experience
Alvin Chen is a Senior Software Engineer at Microsoft Research working on Microsoft Academic. Alvin joined in 2015 and focused on building AI systems. He worked on all aspects of the Microsoft Academic system and actively managed knowledge serve and user feedback. Most recently, he is leading the development of MAKES, a self-hosted academic knowledge service solution. Alvin received his B.S. in Computer Science from University of California, San Diego in 2013 and received his MBA from University of Washington in 2019.
Chieh-Han Wu is a Senior Research Software Development Engineer at Microsoft Research. Chieh-Han’s work mainly focuses on data mining and machine learning on large-scale knowledge graph, with an emphasis on entity linking and entity discovery. He received a B.S. degree in Electrical Engineering from National Taiwan University and the M.S. degree in Electrical and Computer Engineering from Carnegie Mellon University.
*This on-demand webinar features a previously recorded Q&A session and open captioning.