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Connecting Industrial Assets to a Knowledge Graph Using MQTT, Node-RED, and Neo4j
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Connecting Industrial Assets to a Knowledge Graph Using MQTT, Node-RED, and Neo4j

We build a small, complete pipeline that takes an MQTT message from a shop-floor system, transforms it into a Cypher write, and updates the knowledge graph in real time.

Kudzai Manditereza
Aug 18, 2026
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Showing 6 of 6 issues.

We build a small, complete pipeline that takes an MQTT message from a shop-floor system, transforms it into a Cypher write, and updates the knowledge graph in real time.
Aug 18, 2026
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The core and domain ontologies define what may exist in a manufacturing environment. Here we use them to build a knowledge graph of what actually exists.
Aug 18, 2026
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The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe energy and plant utilities.
Aug 18, 2026
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The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe inventory operations.
Aug 18, 2026
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The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe maintenance operations.
Aug 18, 2026
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The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe quality operations.
Aug 18, 2026
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The core ontology defines shared concepts like Process and Location. Here we extend it with the specific classes and relationships needed for production operations.
Aug 18, 2026
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We take the nine-concept core manufacturing ontology from the previous articles and implement it in Neo4j, representing classes and relationships as graph nodes.
Aug 18, 2026
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How do you actually design a manufacturing ontology? The first, and most important, decision is whether to take a top-down or bottom-up approach.
Aug 18, 2026
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