One of the main decisions we have to make upfront is once we apply OCR to incoming unstructured data how do we classify it according to ontologies in that specific business, domain or even industry.
Domain ontologies serve as metadata or mid ontologies where we can consolidate unstructured and structured data that may have very little overlapping or mapping ontological schemas but can be used to consolidate and join them for subsequent congregation aggregation and data lake consolidation efforts.
AI Patterns 