Azure Academic Knowledge
User queries for academic content are entertained by Academic Knowledge API. You will able to know the type of input by a user and rich information will be extracted from Microsoft Academic Graph (MAG). A web-scale heterogeneous entity graph is knowledge Base for MAG, which has entities that model scholarly activities like an institution, author, field of study etc. The data on MAG is comprised of Bing web index and private knowledge base of Bing. As indexing is a continuous process, fresh information is contained by API from Bing indexing and web following discovery.
Natural language user query string is interpreted, returns interpreted annotations to trigger feature by which user get suggestions while typing in a search box.
Evaluate the user input and Academic Knowledge entity is returned.
Histogram of distribution of attribute values is calculated for the entities which are returned by query expression.
A given graph pattern is searched and match entities results are returned.
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