METHODS, APPARATUS, AND SYSTEMS FOR TRANSFORMING UNSTRUCTURED NATURAL LANGUAGE INFORMATION INTO STRUCTURED COMPUTER- PROCESSABLE DATA

摘要

Systems, apparatus, and methods are disclosed for transforming unstructured natural language information into structured computer-processable data. A collection controller can comprise of an emitter to extract the unstructured data. A topological learning network can classify the extracted unstructured data. A transformation controller can model and encode the classified unstructured data as a knowledge graph thereby transforming the unstructured data as structured data. A syndicate controller can perform entity resolution and knowledge-based reasoning over the knowledge graph to resolve the structured data as computationally-relevant data.