Project Academic Knowledge

EXPERIMENTAL Labs provides early adopters with an early look at emerging Cognitive Services technologies. These technologies are still under development and do not have the same performance quality as generally available APIs, but don't let that stop you from discovering and trying the newest Cognitive Services technologies. Please try these new technologies and let us know what you think.

Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API.


Interprets a natural language user query string. Returns annotated interpretations to enable rich search-box auto-completion experiences that anticipate what the user is typing.


Evaluates a query expression and returns Academic Knowledge entity results.


Calculates a histogram of the distribution of attribute values for the academic entities returned by a query expression, such as the distribution of citations by year for a given author.


Calculates the academic cosine similarity between 2 text inputs. Assesses the similarity of not only words but concepts of the related texts.

Graph Search

Searches for a given graph pattern and returns the matched entity results. Graph patterns can be specified by JSON objects or lambda expressions.

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