Method and system for identifying information objects using deep ai-based knowledge objects

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:

• receiving a request from an object discovery controller over a network for identifying one or more objects;
• analyzing the input data to determine a list of a plurality of fields as a part of content of the input data using a predetermined field identification analysis;
• determining a first list of knowledge objects based on the request, each of the knowledge objects of the first list corresponding to one of a plurality of data type categories, wherein each of the knowledge objects includes,
• a value attribute to specify matching data to match a field associated with an information object,
• a verify attribute to specify a method to verify the field of the information object, and
• a tag attribute to specify one of a plurality of formats associated with the matching data stored in the value attribute;
• for each of the fields identified in the list, matching and verifying the field against each of the knowledge objects of the first list to determine whether the field matches the knowledge object, including
• matching the field against a value stored in the value attribute and a format specified by the tag attribute of the knowledge object,
• verifying the field using a predetermined verification method specified in the verify attribute of the knowledge object, and
• if the field has been matched and verified, inserting an object identifier (ID) of the knowledge object into a result list;
• and
• transmitting the result list to the object discovery controller over the network.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations, the operations including
• receiving a request from an object discovery controller over a network for identifying one or more objects;
• analyzing the input data to determine a list of a plurality of fields as a part of content of the input data using a predetermined field identification analysis;
• determining a first list of knowledge objects based on the request, each of the knowledge objects of the first list corresponding to one of a plurality of data type categories, wherein each of the knowledge objects includes,
• a value attribute to specify matching data to match a field associated with an information object,
• a verify attribute to specify a method to verify the field of the information object, and
• a tag attribute to specify one of a plurality of formats associated with the matching data stored in the value attribute;
• for each of the fields identified in the list, matching and verifying the field against each of the knowledge objects of the first list to determine whether the field matches the knowledge object, including
• matching the field against a value stored in the value attribute and a format specified by the tag attribute of the knowledge object,
• verifying the field using a predetermined verification method specified in the verify attribute of the knowledge object, and
• if the field has been matched and verified, inserting an object identifier (ID) of the knowledge object into a result list;
• and
• transmitting the result list to the object discovery controller over the network.