Scalable integrated information structure system

A non-transitory computer-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• instantiating a central metadata repository, the central metadata repository being configured to communicate with a network environment and selectively retrieve a metadata inventory of the network environment, wherein the network environment has at least one network environment system and at least one network environment domain;
• storing an integrated context representation within the central metadata repository, wherein the integrated context representation comprises at least one of a real-time temporal context, a historical context, or a meta context associated with the metadata inventory;
• and
• instantiating a machine learning module, the machine learning module being configured to communicate with the central metadata repository to selectively retrieve the integrated context representation, wherein the machine learning module is configured to communicate with a reasoning module to develop a reasoning model configured to associate a reasoning concept generated by the reasoning module with the integrated context representation, wherein an agent is configured to develop an action by communicating with the central metadata repository to retrieve the integrated context representation and by communicating with the reasoning module to retrieve the reasoning model, wherein the agent implements the action within the network environment, and wherein the integrated context representation is decoupled from one or more limitations of the at least one network environment domain.

A method comprising:

• instantiating, by a processing system comprising a processor, a metadata repository, the metadata repository communicating with a network environment having a metadata inventory, the metadata repository selectively retrieving the metadata inventory of the network environment, and the network environment comprising at least one network environment system and at least one network environment domain;
• storing, by the processing system, an integrated context representation within the metadata repository, the integrated context representation comprising at least one of a real-time temporal context, a historical context, or a meta context associated with the metadata inventory;
• and
• instantiating, by the processing system, a machine learning module, the machine learning module communicating with the metadata repository, the machine learning module retrieving the integrated context representation, the machine learning module communicating with a reasoning module to develop a reasoning model configured to associate a reasoning concept generated by the reasoning module with the integrated context representation, an agent communicating with the network environment, the agent developing an action by communicating with the metadata repository to retrieve the integrated context representation and by communicating with the reasoning module to retrieve the reasoning model, the agent implementing the action within the network environment, and the integrated context representation being decoupled from the at least one network environment system.