Christopher Joseph Testa

US Patent:

8484194, Jul 9, 2013

Filed:

Jan 13, 2012

Appl. No.:

13/350213

Inventors:

Philo Juang - Los Angeles CA, US
Christopher Testa - Venice CA, US
Nicolaus Mote - Los Angeles CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707710, 707706, 707758, 706 12, 706 46

Abstract:

A training set generator may be configured to input a taxonomy including a hierarchy of categories and a plurality of top-level sites, and to output a training set of categorized data. The training set generator may include a crawler configured to crawl each of the top-level sites to determine at least one lower-level site associated therewith and to store the top-level sites and associated lower-level sites as crawl data. The training set generator also may include an extractor configured to determine, for each of the top-level sites, a corresponding site-specific extraction template associating at least one portion of the corresponding top-level site with at least one category of the hierarchy of categories, and further configured to apply each site-specific extraction template to corresponding crawl data to thereby associate the crawl data with the categories of the hierarchical categories and obtain categorized data of the training set.

US Patent:

8122005, Feb 21, 2012

Filed:

Oct 22, 2009

Appl. No.:

12/604025

Inventors:

Philo Juang - Los Angeles CA, US
Christopher Testa - Venice CA, US
Nicolaus Mote - Los Angeles CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707710, 707706, 707758, 707E1709, 706 12, 706 46

Abstract:

A training set generator may be configured to input a taxonomy including a hierarchy of categories and a plurality of top-level sites, and to output a training set of categorized data. The training set generator may include a crawler configured to crawl each of the top-level sites to determine at least one lower-level site associated therewith and to store the top-level sites and associated lower-level sites as crawl data. The training set generator also may include an extractor configured to determine, for each of the top-level sites, a corresponding site-specific extraction template associating at least one portion of the corresponding top-level site with at least one category of the hierarchy of categories, and further configured to apply each site-specific extraction template to corresponding crawl data to thereby associate the crawl data with the categories of the hierarchical categories and obtain categorized data of the training set.