Patents by Inventor Andrew Duchon

Andrew Duchon 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).

  • Publication number: 20180225361
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Application
    Filed: March 8, 2017
    Publication date: August 9, 2018
    Applicant: Aptima, Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
  • Patent number: 9594825
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Grant
    Filed: July 26, 2015
    Date of Patent: March 14, 2017
    Assignee: Aptima, Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
  • Publication number: 20160012121
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Application
    Filed: July 26, 2015
    Publication date: January 14, 2016
    Applicant: APTIMA, INC.
    Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
  • Patent number: 9123022
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Grant
    Filed: May 27, 2009
    Date of Patent: September 1, 2015
    Assignee: Aptima, Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Paul Allopenna, Rich Dejordy
  • Patent number: 8180777
    Abstract: The present invention relates in general to methods and systems for comparing and maximizing the optimal selection of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, methods and systems are provided that apply topic modeling and similarity metrics to determine the optimal selection. In one embodiment, methods and systems are provided to determine the appropriateness of a set of second data objects to satisfy the requirements of a first data object given interaction attributes. Embodiments may be used to compare mission requirements with potential team members to determine the appropriateness of team members and teams for a given mission based on interaction attributes of the team members and teams.
    Type: Grant
    Filed: October 24, 2010
    Date of Patent: May 15, 2012
    Assignee: Aptima, Inc.
    Inventors: Andrew Duchon, Kari Kelton, Pacey Foster, Kara Orvis, Robert McCormack
  • Publication number: 20110072052
    Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
    Type: Application
    Filed: May 27, 2009
    Publication date: March 24, 2011
    Applicant: Aptima Inc.
    Inventors: Bruce Skarin, Andrew Duchon, Paul Allopenna, Rich Dejordy
  • Publication number: 20110040764
    Abstract: The present invention relates in general to methods and systems for comparing and maximizing the optimal selection of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, methods and systems are provided that apply topic modeling and similarity metrics to determine the optimal selection. In one embodiment, methods and systems are provided to determine the appropriateness of a set of second data objects to satisfy the requirements of a first data object given interaction attributes. Embodiments may be used to compare mission requirements with potential team members to determine the appropriateness of team members and teams for a given mission based on interaction attributes of the team members and teams.
    Type: Application
    Filed: October 24, 2010
    Publication date: February 17, 2011
    Applicant: Aptima, Inc.
    Inventors: Andrew DUCHON, Robert McCormack, Kari Kelton, Pacey Foster, Kara Orvis
  • Patent number: 7822750
    Abstract: The present invention relates in general to methods and systems for comparing and maximizing the appropriateness of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, this invention provides an effective and accurate method and system to compare and maximize the appropriateness between the requirements of a task and the second set's capabilities, while these capabilities and requirements are contained, even if only latently, in data objects such as written documents, electronic databases or other sources of data and information. In one embodiment, topic modeling techniques are utilized to compare the data objects.
    Type: Grant
    Filed: January 15, 2008
    Date of Patent: October 26, 2010
    Assignee: Aptima, Inc
    Inventors: Andrew Duchon, Kari Kelton, Pacey Foster, Kara Orvis
  • Publication number: 20080250064
    Abstract: The present invention relates in general to methods and systems for comparing and maximizing the appropriateness of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, this invention provides an effective and accurate method and system to compare and maximize the appropriateness between the requirements of a task and the second set's capabilities, while these capabilities and requirements are contained, even if only latently, in data objects such as written documents, electronic databases or other sources of data and information. In one embodiment, topic modeling techniques are utilized to compare the data objects.
    Type: Application
    Filed: January 15, 2008
    Publication date: October 9, 2008
    Applicant: APTIMA, INC.
    Inventors: Andrew Duchon, Kari Kelton, Pacey Foster, Kara Orvis