Patents by Inventor Timothy W. Estes

Timothy W. Estes 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: 10049162
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Grant
    Filed: November 6, 2015
    Date of Patent: August 14, 2018
    Assignee: Digital Reasoning Systems, Inc.
    Inventor: Timothy W. Estes
  • Publication number: 20160140236
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Application
    Filed: November 6, 2015
    Publication date: May 19, 2016
    Inventor: Timothy W. Estes
  • Patent number: 9189749
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Grant
    Filed: January 7, 2013
    Date of Patent: November 17, 2015
    Assignee: DIGITAL REASONING SYSTEMS, INC.
    Inventor: Timothy W. Estes
  • Publication number: 20130124435
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Application
    Filed: January 7, 2013
    Publication date: May 16, 2013
    Inventor: Timothy W. Estes
  • Patent number: 8352388
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Grant
    Filed: September 5, 2011
    Date of Patent: January 8, 2013
    Inventor: Timothy W. Estes
  • Publication number: 20120059776
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Application
    Filed: September 5, 2011
    Publication date: March 8, 2012
    Inventor: TIMOTHY W. ESTES
  • Patent number: 8015143
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Grant
    Filed: October 3, 2006
    Date of Patent: September 6, 2011
    Inventor: Timothy W. Estes
  • Patent number: 7882055
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Grant
    Filed: July 23, 2007
    Date of Patent: February 1, 2011
    Inventor: Timothy W. Estes
  • Patent number: 7249117
    Abstract: A system and method for processing information in unstructured or structured form, comprising a computer running in a distributed network with one or more data agents. Associations of natural language artifacts may be learned from natural language artifacts in unstructured data sources, and semantic and syntactic relationships may be learned in structured data sources, using grouping based on a criteria of shared features that are dynamically determined without the use of a priori classifications, by employing conditional probability constraints.
    Type: Grant
    Filed: May 21, 2003
    Date of Patent: July 24, 2007
    Inventor: Timothy W. Estes