Patents by Inventor Benjamin D. O'Gwynn

Benjamin D. O'Gwynn 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).

  • Patent number: 10324964
    Abstract: Systems and methods are disclosed that provide high-level, ontology-based analysis of low-level data stored within an unstructured key/value store. The systems and methods allow an analyst to make sense of massive amounts of data from diverse sources without having any knowledge of the underlying physical data storage. The systems and methods provide flexible ontology assisted addressing, embedding such addressing in existing query languages such as widely used Structured Query Language (SQL), and returning results and provenance information of the results.
    Type: Grant
    Filed: November 18, 2014
    Date of Patent: June 18, 2019
    Assignee: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Suresh K. Damodaran, Benjamin D. O'Gwynn
  • Publication number: 20170300558
    Abstract: Systems and methods are disclosed that provide high-level, ontology-based analysis of low-level data stored within an unstructured key/value store. The systems and methods allow an analyst to make sense of massive amounts of data from diverse sources without having any knowledge of the underlying physical data storage. The systems and methods provide flexible ontology assisted addressing, embedding such addressing in existing query languages such as widely used Structured Query Language (SQL), and returning results and provenance information of the results.
    Type: Application
    Filed: November 18, 2014
    Publication date: October 19, 2017
    Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Suresh K. Damodaran, Benjamin D. O'Gwynn
  • Patent number: 9367610
    Abstract: Systems and methods are disclosed that provide high-level, ontology-based analysis of low-level data stored within an unstructured key/value store. The systems and methods allow an analyst to make sense of massive amounts of data from diverse sources without having any knowledge of the underlying physical data storage. Additional features include feasibility queries to determine if requested data exists in the key/value store before performing an expensive query; automatic query optimization using secondary indexes; and a usage history service to identify performance bottlenecks and fine tune the storage schema.
    Type: Grant
    Filed: January 16, 2014
    Date of Patent: June 14, 2016
    Assignee: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Suresh K. Damodaran, Benjamin D. O'Gwynn, Tamara H. Yu
  • Publication number: 20150199424
    Abstract: Systems and methods are disclosed that provide high-level, ontology-based analysis of low-level data stored within an unstructured key/value store. The systems and methods allow an analyst to make sense of massive amounts of data from diverse sources without having any knowledge of the underlying physical data storage. Additional features include feasibility queries to determine if requested data exists in the key/value store before performing an expensive query; automatic query optimization using secondary indexes; and a usage history service to identify performance bottlenecks and fine tune the storage schema.
    Type: Application
    Filed: January 16, 2014
    Publication date: July 16, 2015
    Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Suresh K. Damodaran, Benjamin D. O'Gwynn, Tamara H. Yu