Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
Type:
Grant
Filed:
August 26, 2019
Date of Patent:
February 8, 2022
Assignee:
VortexT Analytics, Inc.
Inventors:
Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr
Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
Type:
Grant
Filed:
February 16, 2018
Date of Patent:
August 27, 2019
Assignee:
VortexT Analytics, Inc.
Inventors:
Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr
Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
Type:
Application
Filed:
February 16, 2018
Publication date:
August 30, 2018
Applicant:
Vortext Analytics, Inc.
Inventors:
Matthew Cody Lambert, Peter Joesph Angerani, Gregory David Ostermayr
Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
Type:
Grant
Filed:
February 2, 2015
Date of Patent:
March 27, 2018
Assignee:
Vortext Analytics, Inc.
Inventors:
Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr