Microsoft academic project

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Welcome to Project Academic Knowledge. With this service, you will be able to interpret user queries for academic intent and retrieve rich information from the Microsoft Academic Graph MAG. The MAG knowledge base is a web-scale heterogeneous entity graph comprised of entities that model scholarly activities: field of study, author, institution, paper, venue, and event. As a result of on-going Bing indexing, this API will contain fresh information from the Web following discovery and indexing by Bing.

Based on this dataset, the Academic Knowledge APIs enables a knowledge-driven, interactive dialog that seamlessly combines reactive search with proactive suggestion experiences, rich research paper graph search results, and histogram distributions of the attribute values for a set of papers and related entities. Used together, these API methods allow you to create a rich semantic search experience.

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