A structured representation of entities and the relationships between them, typically expressed as a labelled directed graph and used to integrate heterogeneous data and to support reasoning, search, and retrieval.
In practiceKnowledge graphs combine an ontology or schema with a populated instance layer of nodes and edges. In enterprise practice they are used to reconcile customer, product, and counterparty data across source systems, to power semantic search, and increasingly to ground generative AI through retrieval over typed relationships rather than over raw documents. They sit alongside the data warehouse rather than replacing it, with strengths in connection-rich queries that are awkward to express in relational SQL.
An insurer builds a knowledge graph linking policyholders, policies, claims, brokers, and properties, then uses it to detect rings in which the same loss adjuster appears across claims from apparently unrelated households, a pattern that was invisible in the relational claims system.
This definition is maintained by Moweb partners and used in live client engagements. For how Knowledge graph applies to your estate, or to challenge a working definition, speak to a partner.