Abstract: The disclosure includes a system and method for anomaly detection of an ID using a knowledge graph. Human curated knowledge may be used as a source of information to aid the system. Image fragments are created from an image of an ID. A knowledge graph schema may be used to define node names and relationships. The image fragments are processed and evaluated according to a workflow. The evaluation results can be compared with a gold standard for a good image. The use of a knowledge graph permits patterns in the images to be used to detect anomalies, which may include potential fraud.

Abstract: The disclosure includes a system and method for generating knowledge graphs for contextual decision making. A knowledge graph schema may be used to define node names and relationships. Data fragments associated with one or more received transactions are encoded as nodes in a transactional graph and then encoded as data fragment nodes in a knowledge graph. Connections between nodes of a knowledge graph may be generated based on the data fragments. Nodes are clustered to identify patterns. Based on contextual information captured through identified patterns, decisions may be reversed to identify fraud.