Abstract: A method performed by a computing device includes generating a first aptitude level entigen group for a first aptitude level phrase in accordance with identigen rules. The first aptitude level entigen group represents a most likely interpretation of the first aptitude level phrase. The method further includes obtaining a multiple aptitude level entigen group from a knowledge database based on the first aptitude level entigen group. The multiple aptitude level entigen group includes the first aptitude level entigen group. The method further includes generating a second aptitude level entigen group utilizing the multiple aptitude level entigen group. The method further includes generating a second aptitude level phrase based on the second aptitude level entigen group. The second aptitude level entigen group represents a most likely interpretation of the second aptitude level phrase.
Type:
Grant
Filed:
January 8, 2020
Date of Patent:
July 12, 2022
Assignee:
ENTIGENLOGIC LLC
Inventors:
Frank John Williams, David Ralph Lazzara, Stephen Emerson Sundberg, Ameeta Vasant Reed, Dennis Arlen Roberson, Thomas James MacTavish, Karl Olaf Knutson, Jessy Thomas, Niklas Josiah MacTavish, David Michael Corns, II, Andrew Chu, Theodore Mazurkiewicz, Gary W. Grube
Abstract: A system for annotating words of a data corpus based upon attributes, items, and actions with Identigens (IDNs) from a Descriptive Dictionary, pairing the word's or their IDNs based on logical forming rules (CETLO Rules); determining if a selected plurality of paired words or IDNs (CETs) are grammatically and syntactically correct by matching IDNs from each pair of words. Optionally, identifying and annotating the individual entities (Entigens) that words are identifying.