Method, system, and computer program for user-driven dynamic generation of semantic networks and media synthesis
This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.
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.
2. The computer-implemented method of claim 1 , wherein the synthesized media includes media selected from the group consisting of one or more web pages, text, one or more images, audio media, and video media.
3. The computer-implemented method of claim 1 , wherein the synthesized media includes at least one of a document, an RSS feed, and/or one or more web pages.
4. The computer-implemented method of claim 1 , wherein generating the semantic network comprises identifying an active concept based on the input provided by the consumer.
5. The computer-implemented method of claim 1 , further comprising storing the synthesized media.
6. The computer-implemented method of claim 1 , wherein generating the semantic network includes performing label-to-concept translation.
7. The computer-implemented method of claim 6 , wherein the input provided by the consumer includes a string, and wherein performing label-to-concept translation comprises generating a label representing the string and generating, from the label, a representation of a concept.
8. The method of claim 1 , wherein the generated synthesized media includes at least one content item selected by the consumer.
9. The method of claim 1 , wherein a format of the generated synthesized media is selected by the consumer.
10. The method of claim 1 , wherein the input provided by the consumer further includes a maximum number of direct hierarchical steps from an active concept to a related concept in the semantic network.
11. The method of claim 1 , wherein said semantic synthesis parameters include one or more of a constraint to a breadth and/or depth of the semantic network, a degree of resolution in the semantic network, and a variation in one or more facets, dimensions, and/or axes of the semantic network.
12. The method of claim 1 , wherein synthesizing said media comprises iterating through said semantic network to generate said synthesized media.
13. A system for synthesizing media using consumer-directed semantic synthesis, the system comprising:
at least one computer hardware processor configured 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 defininq 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 scheme mapping.
14. The system of claim 13 , wherein the synthesized media includes media selected from the group consisting of one or more web pages, text, one or more images, audio media, and video media.
15. The system of claim 13 , wherein the synthesized media includes at least one of a document, an RSS feed, and/or one or more web pages.
16. The system of claim 13 , wherein generating the semantic network comprises identifying an active concept based on the input provided by the consumer.
17. The system of claim 13 , further comprising storing the synthesized media.
18. The system of claim 13 , wherein generating the semantic network includes performing label-to-concept translation.
19. The system of claim 18 , wherein the input provided by the consumer includes a string, and wherein performing label-to-concept translation comprises generating a label representing the string and generating, from the label, a representation of a concept.
20. The system of claim 13 , wherein the generated synthesized media includes at least one content item selected by the consumer.
21. The system of claim 13 , wherein a format of the generated synthesized media is selected by the consumer.
22. The system of claim 13 , wherein the input provided by the consumer further includes a maximum number of direct hierarchical steps from an active concept to a related concept in the semantic network.
23. The system of claim 13 , wherein said semantic synthesis parameters include one or more of a constraint to a breadth and/or depth of the semantic network, a degree of resolution in the semantic network, and a variation in one or more facets, dimensions, and/or axes of the semantic network.
24. The system of claim 13 , wherein synthesizing said media comprises iterating through said semantic network to generate said synthesized media.