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US Patent 9330138 Translating queries into graph queries using primitives

Patent 9330138 was granted and assigned to LinkedIn on May, 2016 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
LinkedIn
LinkedIn
0
Current Assignee
LinkedIn
LinkedIn
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
93301380
Patent Inventor Names
Robert W. Stephenson0
Srinath Shankar0
Scott M. Meyer0
Huaxin Liu0
Date of Patent
May 3, 2016
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Patent Application Number
148582130
Date Filed
September 18, 2015
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Patent Citations Received
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US Patent 12079210 System and method for efficient transliteration of machine interpretable languages
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US Patent 11868851 Systems and methods for predicting outcomes using a prediction learning model
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US Patent 11971867 Global column indexing in a graph database
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US Patent 11995075 System and method for efficient transliteration of machine interpretable languages
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US Patent 11995124 Query language interoperability in a graph database
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Patent Primary Examiner
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Binh V Ho
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Patent abstract

In order to facilitate the requesting of desired information from a graph database that stores a graph, a system may translate an initial query into a query that can be executed against the graph database. In particular, using primitives, the system may translate a query associated with a type of database (such as a relational database) into the query. The graph may include nodes, edges between the nodes, and predicates to represent and store data with index-free adjacency. Moreover, the primitives may include: a rule based on edges in the graph that expresses a relational schema in the type of database, and information associated with a compound key that specifies a relationship between nodes, edges and predicates in the graph corresponding to a table in the type of database. Then, the system may execute the query against the graph database, and may receive a result that includes a subset of the graph.

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