Abstract: The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.
Type:
Grant
Filed:
February 11, 2019
Date of Patent:
January 19, 2021
Assignee:
NAMESFORLIFE, LLC
Inventors:
Charles T. Parker, Catherine M. Lyons, Gerald P. Roston, George M. Garrity
Abstract: The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.
Type:
Grant
Filed:
June 6, 2017
Date of Patent:
February 12, 2019
Assignee:
NAMESFORLIFE, LLC
Inventors:
Charles T. Parker, Catherine M. Lyons, Gerald P. Roston, George M. Garrity
Abstract: The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.
Type:
Grant
Filed:
January 12, 2010
Date of Patent:
June 6, 2017
Assignee:
NAMESFORLIFE, LLC
Inventors:
Charles T. Parker, Catherine M. Lyons, Gerald P. Roston, George M. Garrity
Abstract: A method of classifying a plurality of documents. The method includes steps of providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination.