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US Patent 9015730 Natural language access to application programming interfaces

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
90157301
Patent Inventor Names
Corville O. Allen1
Adrian X. Rodriquez1
Eric Woods1
Richard A. Salmon1
Date of Patent
April 21, 2015
1
Patent Application Number
141095271
Date Filed
December 17, 2013
1
Patent Citations Received
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US Patent 12106094 Methods and systems for auto creation of software component reference guide from multiple information sources
2
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US Patent 11893385 Methods and systems for automated software natural language documentation
3
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US Patent 11921763 Methods and systems to parse a software component search query to enable multi entity search
4
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US Patent 11934891 APIA configuration using auto-rationalization and modeling
5
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US Patent 11947530 Methods and systems to automatically generate search queries from software documents to validate software component search engines
6
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US Patent 11960492 Methods and systems for display of search item scores and related information for easier search result selection
7
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US Patent 11995413 Data transformation system and method
8
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Patent Primary Examiner
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Craig Dorais
1
Patent abstract

Users of online services may avoid having to gain knowledge of the intricacies of specific Application Programming Interface (API) syntaxes and elements by using natural language requests which are processed to extract components of the request. The components are then used to find one or more matches of known APIs, and then at least one structured API call is constructed by mapping the request's components to the structured API call's elements. The system can then invoke the online service on behalf of the client, and return the results to the client, or it can return the constructed structured API call to the client. The known API details can be initialized and updated by ingesting the description documents for the structured APIs, and then using natural language processing to extract components from the descriptions, which can then be utilized in the matching process to further enhance the results of the tool.

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