Patents by Inventor Bora C. Gazen

Bora C. Gazen 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).

  • Method and system for automatically extracting data from web sites
    Patent number: 8843490
    Abstract: In accordance with an embodiment, data may be automatically extracted from semi-structured web sites. Unsupervised learning may be used to analyze web sites and discover their structure. One method utilizes a set of heterogeneous “experts,” each expert being capable of identifying certain types of generic structure. Each expert represents its discoveries as “hints.” Based on these hints, the system may cluster the pages and text segments and identify semi-structured data that can be extracted. To identify a good clustering, a probabilistic model of the hint-generation process may be used.
    Type: Grant
    Filed: July 26, 2011
    Date of Patent: September 23, 2014
    Assignee: Connotate, Inc.
    Inventors: Bora C. Gazen, Steven N. Minton
  • Method and system for automatically extracting data from web sites
    Patent number: 8117203
    Abstract: In accordance with an embodiment, data may be automatically extracted from semi-structured web sites. Unsupervised learning may be used to analyze web sites and discover their structure. One method utilizes a set of heterogeneous “experts,” each expert being capable of identifying certain types of generic structure. Each expert represents its discoveries as “hints.” Based on these hints, the system may cluster the pages and text segments and identify semi-structured data that can be extracted. To identify a good clustering, a probabilistic model of the hint-generation process may be used.
    Type: Grant
    Filed: January 15, 2008
    Date of Patent: February 14, 2012
    Assignee: Fetch Technologies, Inc.
    Inventors: Bora C. Gazen, Steven N. Minton
  • METHOD AND SYSTEM FOR AUTOMATICALLY EXTRACTING DATA FROM WEB SITES
    Publication number: 20110282877
    Abstract: In accordance with an embodiment, data may be automatically extracted from semi-structured web sites. Unsupervised learning may be used to analyze web sites and discover their structure. One method utilizes a set of heterogeneous “experts,” each expert being capable of identifying certain types of generic structure. Each expert represents its discoveries as “hints.” Based on these hints, the system may cluster the pages and text segments and identify semi-structured data that can be extracted. To identify a good clustering, a probabilistic model of the hint-generation process may be used.
    Type: Application
    Filed: July 26, 2011
    Publication date: November 17, 2011
    Applicant: Fetch Technologies, Inc.
    Inventors: Bora C. GAZEN, Steven N. MINTON