Knowledge Graph
A knowledge graph is a structured data store that represents entities and their relationships as a graph of nodes and edges, enabling semantic queries that traverse relationships rather than matching keywords. In industrial PLM, knowledge graphs can represent the relationships between parts, assemblies, requirements, simulations, and suppliers — enabling queries like "which assemblies use this material" or "which requirements are unverified" that are difficult or impossible to answer with relational database schemas alone.
Why it matters
Knowledge graphs are the data foundation for semantic reasoning in agentic PLM. Without a graph-structured representation of product data, an AI agent can retrieve documents but cannot reason about relationships. Vendors including Siemens (Xcelerator knowledge graph), PTC (ThingWorx Knowledge Graph), and Dassault (3DEXPERIENCE semantic layer) are all investing in knowledge graph infrastructure as the substrate for their AI roadmaps — which is why knowledge graph architecture is the central technical bet of the next PLM platform generation.
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Cite this definition
Finocchiaro, Michael. “Knowledge Graph.” DemystifyingPLM PLM Glossary, 2026, https://www.demystifyingplm.com/glossary/knowledge-graph