Semantic reflection storage and automatic reconciliation of hierarchical messages

A computing device for managing semantic reflection storage and reconciliation of hierarchical messages, the comprising device comprising:

• a memory, and
• a processor coupled to the memory, the processor executing a message processing application in conjunction with instructions stored in the memory, wherein the message processing application includes:
• a first generation parser configured to:
• assess structural semantics of an incoming message,
• shred the incoming message into structural components, and
• one of store one of the structural components in a first generation data store in an insert-only form and collapse the structural components, during a first generation phase;
• a second generation parser configured to:
• generate data from the structural components based on one or more of a content and a structure of the incoming message,
• store the data in a second generation data store in the insert-only form,
• present one or more options to a user for management of exceptions to a default behavior associated with the shredding of the incoming message through a configuration user interface,
• generate a correlation data mapping context key from the structural components, and
• map the correlation data mapping context key to an entity, during a second generation phase;
• and
• a view materializer configured to:
• during the second generation phase, aggregate structural component data in a first generation data store, the data in the second generation data store, and data from a correlation data store to generate one of a view and a table for each segment of the incoming message;
• and
• during a publishing phase, perform entity binding using the aggregated data and store resulting entity definitions in an entity store as one of the view and the table.

A computer-readable memory device with instructions stored thereon for managing semantic reflection storage and reconciliation of hierarchical messages, the instructions comprising:

• assessing structural semantics of an incoming message through use of a first generation parser;
• shredding the incoming message into structural components by placing one of the structural components into a first generation data store;
• utilizing a second generation parser to:
• perform at least one from a set of:
• cleansing, normalization, and a typed transformation on the structural components based on at least one of a content and a structure of the incoming message;
• generate data from the structural components based on one or more of the content and the structure of the incoming message;
• and
• store the data in a second generation data store;
• presenting one or more options to a user for management of exceptions to a default behavior associated with the shredding of the incoming message through a configuration use interface;
• updating a state of a context associated with the incoming message in response to detecting a change in one or more of a code and a source of the incoming message;
• generating correlation data mapping context key from the structural components;
• and
• mapping the correlation data mapping context key to an entity.