Output generation based on semantic expressions

A computer-implemented method comprising:

• obtaining author input data having an author input data visual exemplar, the author input data visual exemplar associated with two or more author input data visual exemplar semantic expressions, wherein obtaining the author input data includes receiving, over a user interface, a selection of the author input data visual exemplar with which to express content data, the selection conveying an editorial intent of an author of the author input data;
• obtaining consumer data;
• and
• generating an output based on the editorial intent of the author of the author input data and the consumer data, wherein generating the output comprises:
• preserving a contract subset of the author input data visual exemplar semantic expressions in the output;
• and
• varying one or more semantic expressions not in the contract subset,
• wherein the author input data visual exemplar comprises a visual exemplar selected from the group consisting of:
• a heading, a sidebar, a list, an outline, a stack, flowing content, a filmstrip, a grid, a comparison, a triptych, a collage, drill-down content, clustered content, gallery, text expressing title, text expressing heading, text expressing caption, text expressing block text, text expressing quotation, text expressing body text, and a visual exemplar demonstrating a relationship between text and media;
• and
• wherein the author input data visual exemplar semantic expressions include at least one semantic expression selected from the group consisting of:
• hierarchy, drill-in, summarization, hyperlink, sidebar, continuity, grouping, uniformity, ordering, emphasis, showcase, text size, text with media, equality, media as background, caption, attribution, block text, quotation, body text, optional, and reveal;
• and
• wherein the author input data visual exemplar semantic expressions comprises strict uniformity and strict ordering.

A non-transitory computer-readable medium comprising computer-executable instructions stored thereon that, when executed by a processor, cause the processor to:

• cause a plurality of visual exemplars to be presented to a user at a user interface;
• receive a selection of a first visual exemplar from the plurality of visual exemplars over the user interface with which to express one or more content elements;
• identify a set of semantic expressions associated with the first visual exemplar, wherein the set of semantic expressions comprises two or more semantic expressions;
• identify a contract subset of the set of semantic expressions;
• identify a non-contract subset of the set of semantic expressions, wherein the non-contract subset is disjoint with the contract subset;
• and
• generate an output that communicates content data based on the contract subset and varies at least one semantic expression in the non-contract subset,
• wherein the first visual exemplar comprises a visual exemplar selected from the group consisting of:
• a heading, a sidebar, a list, an outline, a stack, flowing content, a filmstrip, a grid, a comparison, a triptych, a collage, drill-down content, clustered content, gallery, text expressing title, text expressing heading, text expressing caption, text expressing block text, text expressing quotation, text expressing body text, and a visual exemplar demonstrating a relationship between text and media;
• wherein the set of semantic expressions includes at least one semantic expression selected from the group consisting of:
• hierarchy, drill-in, summarization, hyperlink, sidebar, continuity, grouping, uniformity, ordering, emphasis, showcase, text size, text with media, equality, media as background, caption, attribution, block text, quotation, body text, optional, and reveal;
• and
• wherein the set of semantic expressions comprises strict uniformity and strict ordering.