Patents by Inventor Benjamin Colby Jones

Benjamin Colby Jones has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Developing object ontologies and data usage models using machine learning
    Patent number: 12153615
    Abstract: An enterprise ontology, an application data usage model, and/or cross-application data dependencies may be developed using artificial intelligence. Using pattern recognition and/or information extraction techniques, the artificial intelligence may analyze application source code to identify common DDL or SQL statements to formulate an ontology and/or a usage model for the application. A plurality of application ontologies and/or data usage models may be used to build a semantic hub. The semantic hub may be analyzed to identify data redundancies, data use frequency, potential data quality challenges, and/or data dependencies between applications to produce a data abstraction model that allows legacy applications to communicate with one or more data stores.
    Type: Grant
    Filed: July 13, 2023
    Date of Patent: November 26, 2024
    Assignee: Science Applications International Corporation
    Inventor: Benjamin Colby Jones
  • DEVELOPING OBJECT ONTOLOGIES AND DATA USAGE MODELS USING MACHINE LEARNING
    Publication number: 20230359660
    Abstract: An enterprise ontology, an application data usage model, and/or cross-application data dependencies may be developed using artificial intelligence. Using pattern recognition and/or information extraction techniques, the artificial intelligence may analyze application source code to identify common DDL or SQL statements to formulate an ontology and/or a usage model for the application. A plurality of application ontologies and/or data usage models may be used to build a semantic hub. The semantic hub may be analyzed to identify data redundancies, data use frequency, potential data quality challenges, and/or data dependencies between applications to produce a data abstraction model that allows legacy applications to communicate with one or more data stores.
    Type: Application
    Filed: July 13, 2023
    Publication date: November 9, 2023
    Inventor: Benjamin Colby Jones
  • Developing object ontologies and data usage models using machine learning
    Patent number: 11748395
    Abstract: An enterprise ontology, an application data usage model, and/or cross-application data dependencies may be developed using artificial intelligence. Using pattern recognition and/or information extraction techniques, the artificial intelligence may analyze application source code to identify common DDL or SQL statements to formulate an ontology and/or a usage model for the application. A plurality of application ontologies and/or data usage models may be used to build a semantic hub. The semantic hub may be analyzed to identify data redundancies, data use frequency, potential data quality challenges, and/or data dependencies between applications to produce a data abstraction model that allows legacy applications to communicate with one or more data stores.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: September 5, 2023
    Assignee: Science Applications International Corporation
    Inventor: Benjamin Colby Jones
  • Developing Object Ontologies and Data Usage Models Using Machine Learning
    Publication number: 20220414136
    Abstract: An enterprise ontology, an application data usage model, and/or cross-application data dependencies may be developed using artificial intelligence. Using pattern recognition and/or information extraction techniques, the artificial intelligence may analyze application source code to identify common DDL or SQL statements to formulate an ontology and/or a usage model for the application. A plurality of application ontologies and/or data usage models may be used to build a semantic hub. The semantic hub may be analyzed to identify data redundancies, data use frequency, potential data quality challenges, and/or data dependencies between applications to produce a data abstraction model that allows legacy applications to communicate with one or more data stores.
    Type: Application
    Filed: June 25, 2021
    Publication date: December 29, 2022
    Inventor: Benjamin Colby Jones