SYSTEM FOR PROVIDING CONTEXTUALLY RELEVANT DATA IN RESPONSE TO INTEROPERABLY ANALYZED STRUCTURED AND UNSTRUCTURED DATA FROM A PLURALITY OF HETEROGENEOUS DATA SOURCES BASED ON SEMANTIC MODELLING FROM A SELF-ADAPTIVE AND RECURSIVE CONTROL FUNCTION

摘要

The present utility model provides a computer-based system for providing contextually relevant output data based on semantic modelling derived from a self-adaptive and recursive control function. Structured and unstructured input data from heterogeneous data sources are processed and analyzed by an array of processing units. A set of rules is applied against the processed and analyzed data in order to generate measured process values from which contextually relevant output data may be generated. The contextually relevant output data is returned to the database system as part of the structured and unstructured input data for further processing and analysis by the recursive control function within a predetermined time period. A central processing unit and a graphics processing unit are configured to accelerate the data processing operations associated with the recursive control function.