Abstract: An apparatus allows the semi-automated creation and curation of a knowledge graph based on a query-atom ER ranking engine. This apparatus cooperates with a domain expert to smoothly and semi-automatically incorporate or restructure textual data in the knowledge graph when a suitable high-confidence response to a query cannot be found. The apparatus extends the conventional information retrieval approach to consumer interaction by building a structured knowledge graph. Using graph exploration, the apparatus augments the ranking made by the underlying neural model in order to stay in sync with the constantly-changing domain of application. The apparatus allows for the consistent, cognitive, consumer-driven incorporation and restructuring of relevant unstructured data in a knowledge graph which is generated by mimicking users' behaviors.

Abstract: This invention allows the semi-automated creation and curation of a knowledge graph based on a query-atom IR ranking engine. This invention cooperates with a domain expert to smoothly and semi-automatically incorporate or restructure textual data in the knowledge graph when a suitable high-confidence response to a query cannot be found. The invention extends the conventional information retrieval approach to consumer interaction by building a structured knowledge graph. Using graph exploration the invention augments the ranking made by the underlying neural model in order to stay in sync with the constantly-changing domain of application. The ultimate goal of this invention is to allow the consistent, cognitive, consumer-driven incorporation and restructuring of relevant unstructured data in a knowledge graph which is generated by mimicking users behaviours.