Interpretive Computing Over Visualizations, Data And Analytics

TL;DR: In this paper, the view composition process may be entirely data-driven, and may include a mechanism for canonicalizing input data, and binding canonicalized input data to the model parameters.

Abstract: Visual items may each be constructed and placed in position using logic defined by a view component corresponding to each visual item, where that logic may depend on one or more values populated into parameter(s) of the view component. Some of those parameter values may correspond to known model parameter values. Others, however, may have been solved for using a model that defines analytical relationships between the model parameters. In one embodiment, which of the model parameters are known, and which are unknown, may not be predetermined. Accordingly, a solver might be prepared for multiple solve operation paths even using a single model. The view composition process may be entirely data-driven, and may include a mechanism for canonicalizing input data, and binding canonicalized input data to the model parameters. The view composition framework may operate the same regardless of the domain.