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Analytic solution with a self-learning and context-sensitive semantic layer

  • US 9,626,453 B2
  • Filed: 12/23/2014
  • Issued: 04/18/2017
  • Est. Priority Date: 12/23/2014
  • Status: Active Grant
First Claim
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1. A system for dynamic data modeling that enables a self-learning and context-sensitive semantic layer to query data, the system comprising:

  • at least one processor;

    a non-transitory computer-readable medium configured to store executable instructions that when executed by the at least one processor are configured to implement;

    a query engine configured to receive a query from a user via a user interface layer for obtaining data from one or more databases, determine if a keyword of the query can be mapped to at least one of a plurality of keyword mappings stored in a semantic layer, and if the keyword cannot be mapped, provide an interactive object, via the user interface layer, to learn a new keyword mapping for the keyword such that the semantics layer is updated with the new keyword mapping for future queries; and

    a prediction engine configured to check for previous queries of the user or other users that map the query to predict a next query,the query engine configured to provide query results of the query and the next query as a suggestion via the user interface layer.

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