Abstract: A system and method of extracting knowledge from a plurality of documents by at least one processor may include: receiving a domain-specific schema data structure, comprising a definition of one or more domain entity types; using at least one first machine-learning (ML) based model to fetch one or more mentions from the plurality of documents; using at least one second ML model to extract, from the one or more mentions, at least one domain entity that corresponds to the one or more domain entity types; and integrating the at least one extracted domain entity into a knowledge graph, based on the domain schema.