Abstract: Various embodiments for a continuous learning system are described herein. An embodiment operates by receiving a query from a user and identifying an unknown phrase in the query. User feedback regarding the unknown phrase is requested and received. A first pre-existing entity of a plurality of pre-existing entities that corresponds to the received user feedback is identified. A relationship between the first pre-existing entity and the unknown is added to the knowledgebase. The query is executed against the knowledgebase using the first pre-existing entity. A response, to the executed query, is provided to the user.

Abstract: A method may include receiving a natural language command invoking a workflow of an enterprise software application. The natural language command may be parsed to identify at a first entity associated with a first value included in the natural language command. A second entity related to the first entity may be determined based on a knowledge graph representative of an ontology associated with the enterprise software application. In the event a second value associated with the second entity is absent from the natural language command, a request for the second value may be generated. Upon receiving the second value, a request for the enterprise software application execute the workflow based at least on the first value of the first entity and a second value of the second entity may be generated. Related methods and articles of manufacture are also disclosed.