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MicrosoftAcademicSearch
  Last updated: 16/11/2017
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MicrosoftAcademicSearch API Package

Semantic search provides you with highly relevant search results from continually refreshed and extensive academic content from over 120 million publications.

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MicrosoftAcademicSearch

MicrosoftAcademicSearch Package

Discover more of what you need more quickly. Semantic search provides you with highly relevant search results from continually refreshed and extensive academic content from over 120 million publications.

How to get credentials:

  1. Subscribe to the Microsoft Text Analytics API on the Microsoft Azure portal.
  2. Click create button.
  3. In settings->credential section you will see apiKey (Ocp-Apim-Subscription-Key)

Custom datatypes:

DatatypeDescriptionExample
DatepickerString which includes date and time2016-05-28 00:00:00
MapString which includes latitude and longitude coma separated50.37, 26.56
ListSimple array["123", "sample"]
SelectString with predefined valuessample
ArrayArray of objects[{"Second name":"123","Age":"12","Photo":"sdf","Draft":"sdfsdf"},{"name":"adi","Second name":"bla","Age":"4","Photo":"asfserwe","Draft":"sdfsdf"}]

MicrosoftAcademicSearch.getInterpretation

Takes an end user query string (i.e., a query entered by a user of your application) and returns formatted interpretations of user intent based on the Academic Graph data and the Academic Grammar.To provide an interactive experience, you can call this method repeatedly after each character entered by the user. In that case, you should set the complete parameter to 1 to enable auto-complete suggestions. If your application does not want auto-completion, you should set the complete parameter to 0.

FieldTypeDescription
keycredentialsSubscription key which provides access to this API.
regionStringThe region that most closely describes your location.Example: westcentralus
completeSelecttrue means that auto-completion suggestions are generated based on the grammar and graph data.
countNumberMaximum number of interpretations to return.
offsetNumberIndex of the first interpretation to return. For example, count=2&offset=0 returns interpretations 0 and 1. count=2&offset=2 returns interpretations 2 and 3.
timeoutNumberTimeout in milliseconds. Only interpretations found before the timeout has elapsed are returned.
queryStringQuery entered by user. If complete is set to 1, query will be interpreted as a prefix for generating query auto-completion suggestions.
modelStringName of the model that you wish to query. Currently, the value defaults to "latest".

MicrosoftAcademicSearch.getAcademicEntities

Return a set of academic entities based on a query expression.

FieldTypeDescription
keycredentialsSubscription key which provides access to this API.
regionStringThe region that most closely describes your location.Example: westcentralus
exprStringA query expression that specifies which entities should be returned.
modelStringName of the model that you wish to query. Currently, the value defaults to "latest".
countNumberNumber of results to return.
offsetNumberIndex of the first result to return.
orderbyStringName of an attribute that is used for sorting the entities. Optionally, ascending/descending can be specified. The format is: name:asc or name:desc.
attributesListList that specifies the attribute values that are included in the response. Attribute names are case-sensitive.

MicrosoftAcademicSearch.calcHistogram

Calculate the distribution of attribute values for a set of paper entities.

FieldTypeDescription
keycredentialsSubscription key which provides access to this API.
regionStringThe region that most closely describes your location.Example: westcentralus
exprStringA query expression that specifies the entities over which to calculate histograms.
modelStringName of the model that you wish to query. Currently, the value defaults to "latest".
attributesListList that specifies the attribute values that are included in the response. Attribute names are case-sensitive.
countNumberNumber of results to return.
offsetNumberIndex of the first result to return.

MicrosoftAcademicSearch.graphSearch

The graph query interface powered by Graph Engine allows us to not only query entities that meet certain criteria (e.g. find a paper with a given title), but also perform pattern matching via graph exploration (e.g. detect co-authorship).

FieldTypeDescription
keycredentialsSubscription key which provides access to this API.
regionStringThe region that most closely describes your location.Example: westcentralus
bodyJSONQuery object

MicrosoftAcademicSearch.calculateSimilarity

Calculate a floating point value based on 2 text inputs.

FieldTypeDescription
keycredentialsSubscription key which provides access to this API.
regionStringThe region that most closely describes your location.Example: westcentralus
s1StringString to be compared, input length is bounded by the limitation of the length of URL.
s2StringString to be compared, input length is bounded by the limitation of the length of URL.
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MicrosoftAcademicSearch
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