18225560. CONSOLIDATION OF RESPONSES FROM QUERIES TO DISPARATE DATA SOURCES simplified abstract (Google LLC)

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CONSOLIDATION OF RESPONSES FROM QUERIES TO DISPARATE DATA SOURCES

Organization Name

Google LLC

Inventor(s)

Anuj Thakkar of Mountain View CA (US)

Chaitrali Amrutkar of Mountain View CA (US)

Ognjen Nikolic of Mountain View CA (US)

Jason Douglas of Mountain View CA (US)

Ilya Firman of Sunnyvale CA (US)

Steve Chen of Mountain View CA (US)

CONSOLIDATION OF RESPONSES FROM QUERIES TO DISPARATE DATA SOURCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18225560 titled 'CONSOLIDATION OF RESPONSES FROM QUERIES TO DISPARATE DATA SOURCES

Simplified Explanation

The patent application describes a system that consolidates queries from different data sources. Here are the key points:

  • The system includes an application intake component that receives an application package file and identifies actions and entities related to the application.
  • A natural language processor component can process an audio signal to identify an action and an entity mentioned in the audio.
  • An application delivery component then identifies applications capable of performing the action and applications that have access to the entity.
  • The system selects an application that is configured to perform the action on the entity and provides this information to a client device.

Potential applications of this technology:

  • Streamlining application processing by automatically identifying actions and entities mentioned in application package files.
  • Enhancing voice-controlled systems by accurately identifying actions and entities mentioned in audio signals.
  • Improving application delivery by selecting the most suitable application based on its capabilities and access to relevant entities.

Problems solved by this technology:

  • Manual processing of application package files can be time-consuming and error-prone. This system automates the identification of actions and entities, making the process more efficient and accurate.
  • Voice-controlled systems often struggle to accurately understand and interpret spoken commands. The natural language processor component improves the accuracy of identifying actions and entities mentioned in audio signals.

Benefits of this technology:

  • Increased efficiency in processing application package files, saving time and reducing errors.
  • Improved user experience with voice-controlled systems, as the system can better understand and interpret spoken commands.
  • Enhanced application delivery by selecting the most suitable application based on its capabilities and access to relevant entities.


Original Abstract Submitted

Consolidation of disparate data source queries is provided. An application intake component can receive an application package file, and process the file to identify one or more actions and entities for the application. A natural language processor component can receive an input audio signal to identify an action and an entity on which to perform the action. An application delivery component can identify applications that can perform the action and applications that have access to the entity, and then select an application that is configured to perform the action on the entity. The application delivery component can provide an indication of the application selected by the system to a client device.

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