According to one embodiment, an information object identification and discovery server have been presented. A given corpus of information is treated as a 'unique sequence' of canonical structures. These canonical structures are called information objects that are categorized into a set of primitive types. In real-life, these information objects may represent a physical object, an imaginary object, a conceptual object, or a data/knowledge object about them. The corpus of information is also expected to contain noise objects – these items are not information objects. The corpus of information is also expected to contain items that are not known to be information objects a-priori but are discovered and classified a-posteriori in the process as new knowledge objects discovery of new information objects: the process results in the 'discovery' of new 'types' and 'classes' of information objects that were not known a-priori.
METHOD AND SYSTEM FOR IDENTIFYING INFORMATION OBJECTS USING DEEP AI-BASED KNOWLEDGE OBJECTS