Abstract: A method, system and computer-usable medium are disclosed for minimizing reevaluation of a ground truth corpus in response to concept drift. Certain embodiments are directed to a computer implemented comprising: generating a knowledge graph using a ground truth corpus, where the knowledge graph includes concept nodes, context definition nodes, and document nodes, where each concept node has one or more edges to a context definition node and to a document node; updating a context definition node in the knowledge graph based on context drift; identifying edges between the updated context definition node and concept nodes affected by the updated context definition; and identifying edges between the affected concept nodes and corresponding document nodes to identify document nodes affected by the context drift; and reevaluating documents in the ground truth corpus corresponding to the affected document nodes pursuant to updating the ground truth corpus to compensate for the context drift.

Abstract: A method, system and computer-usable medium are disclosed for minimizing reevaluation of a ground truth corpus in response to concept drift. Certain embodiments are directed to a computer implemented comprising: generating a knowledge graph using a ground truth corpus, where the knowledge graph includes concept nodes, context definition nodes, and document nodes, where each concept node has one or more edges to a context definition node and to a document node; updating a context definition node in the knowledge graph based on context drift; identifying edges between the updated context definition node and concept nodes affected by the updated context definition; and identifying edges between the affected concept nodes and corresponding document nodes to identify document nodes affected by the context drift; and reevaluating documents in the ground truth corpus corresponding to the affected document nodes pursuant to updating the ground truth corpus to compensate for the context drift.