US 11,868,903 B2
Method, system, and computer program for user-driven dynamic generation of semantic networks and media synthesis
Peter Sweeney, Kitchener (CA); Robert Good, Waterloo (CA); Robert Barlow-Busch, Kitchener (CA); and Alexander David Black, Guelph (CA)
Assigned to PRIMAL FUSION INC., Kitchener (CA)
Filed by Primal Fusion Inc., Waterloo (CA)
Filed on Jan. 24, 2014, as Appl. No. 14/163,504.
Application 14/163,504 is a continuation of application No. 12/671,846, granted, now 8,676,722, previously published as PCT/CA2009/000567, filed on May 1, 2009.
Claims priority of provisional application 61/049,581, filed on May 1, 2008.
Prior Publication US 2014/0324765 A1, Oct. 30, 2014
Int. Cl. G06N 5/02 (2023.01); G06F 16/36 (2019.01); G06F 16/33 (2019.01); G06F 16/2457 (2019.01); G06F 40/30 (2020.01); G06Q 30/0241 (2023.01); G06Q 30/0251 (2023.01); G06N 5/022 (2023.01)
CPC G06N 5/02 (2013.01) [G06F 16/24575 (2019.01); G06F 16/3334 (2019.01); G06F 16/3344 (2019.01); G06F 16/367 (2019.01); G06F 40/30 (2020.01); G06N 5/022 (2013.01); G06Q 30/0241 (2013.01); G06Q 30/0269 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A computer-implemented method for synthesizing media using consumer-directed semantic synthesis, the method comprising:
using at least one computer hardware processor to perform:
providing semantic synthesis parameters to a consumer via a user interface;
receiving, from the consumer, a selection of one or more synthesis parameters;
generating a semantic network based on the selected synthesis parameters and at least one interaction between at least one data entity and at least one concept derived from input by the consumer, wherein the semantic synthesis parameters direct synthesis of the semantic network by constraining the scope and defining the structure of the semantic network, and wherein the generated semantic network includes newly inferred concepts;
collating content elements within the semantic network;
displaying representative content elements to the consumer in the user interface; and
synthesizing media for the consumer using the semantic network, collated content elements, and a format schema mapping.