Introducing an Enhanced Metadata Broker for Manufacturing Data Spaces
summary
An enhanced metadata broker for manufacturing data spaces uses an ontology of 59 classes, 14 object properties, extends IDS broker and Gaia‑X catalog concepts, and runs as Python microservices with a graph DB triple store backend and REST API. It encodes dataset attributes (usage like predictive maintenance or scheduling, data quality procedures, owner, big‑data flag), exposes CRUD and planned SPARQL query services, and the backend is operational while the user interface remains under development.
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chapters (7)
- 0:00Enhanced metadata broker intro
- 1:09Metadata discoverability problem
- 2:34Enhanced ontology for manufacturing
- 4:40Semantic framework and REST API
- 6:25UI and AI model marketplace
- 7:49Main contributions and next steps
- 9:20Q&A
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