This structured corpus organizes terminology into eight clusters, enhancing machine-readability and knowledge graph integration.
Restricted bundle of the AUGMANITAI Knowledge-Graph Injection 200-term corpus organized in 8 thematic clusters: A) Semantic Web + Linked Data (50 terms), B) Backends + DevOps + Vector + Agents (50 terms), C) Robotik (30 terms), D) Swarm + Multi-Agent (30 terms), E) BCI + Neuromorphic (10 terms), F) Quantum (10 terms), G) AR/VR + Spatial (10 terms), H) Embedded + Aerospace + Misc (10 terms). Plus cross-source audit, global enrichment tricks, machine-first roadmap, canonical author values, JSON-LD researcher profile (Zenodo 19590156). Strict-Wissenschaft, terminology corpus designed for crawler-visibility and machine-readable enrichment of AUGMANITAI authority across knowledge graphs.
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Andreas Ehstand (2026) studied this question.
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