Patent Document ID: 10157347
Application ID: 14533085

Base Claim:
1. A method, comprising: building a domain model for processing data specific to an enterprise; applying historical enterprise data and contextual data to the model to build entity relations annotated with contextual data; wherein said method comprises sending said enterprise data and/or said contextual data to one or more of an importer module, an extraction module, a learning module, a classification module, a feedback module, a scoring module, and/or an export module; extracting features of interest from the annotated entity relations defined in the domain model; classifying and clustering the features to develop enterprise-specific metadata; storing the metadata for use by the domain model; and receiving and applying expert feedback to improve the model.

---

Claim 6:
6. The method of claim 1 , wherein the domain model comprises a plurality of parameters associated with a domain corresponding to the enterprise data, and building the domain model comprises: selecting a domain from a domain catalog; selecting a domain problem for the selected domain, wherein the catalog includes suggested features for the domain problem; looping through the suggested features; using a feature extractor on source data samples to optimize the plurality of parameters; and saving the optimized parameters in the domain model.