MEM/FWU Roundtrip Plan
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scripts/build_compendia.pyRegenerate with:python3 scripts/build_compendia.py --compendium skill-graph-architecture --web-and-texSource of truth:docs/concept/skill-graph/architecture-source/
Language / Sprache: English (EN) · Deutsch (DE) | PDF: English PDF · Deutsches PDF
Compendium: §1 General Goal System · §2 Node Types · §3 View Projection · §4 Source & Resource Links · §5 Content Integration · §6 Source Rationales · §7 Goal Visualizations · §8 Learning-Goal Book · §9 Gymnasium Rollout · §10 MEM/FWU Plan · §11 Dual Package Releases
10. MEM/FWU Roundtrip Plan
SkillPilot treats Metadata for Educational Media (MEM) and FWU-DE/lehrplan-ontologie as an adjacent semantic metadata and provenance layer rather than a competing model, acting as a practical open-source test bench for traceable AI learning-step navigation (see the operational pipeline in MEM/FWU Roundtrip Pipeline and reference paper https://aifyer.com/ki-lernbegleitung/versions/v1.0/schulisch-verantwortete-ki-lernbegleitung-v1.0.pdf).
10.1. Semantic Roundtrip Probe and Required Coverage
SkillPilot skill landscape (JSON export ZIP)
-> MEM/FWU-first RDF/OWL bundle + hashed binary sidecars
-> Reconstructed SkillPilot skill-landscape data (no source JSON access)
-> Deterministic SkillPilot graph, view, and asset validation
Without embedding opaque JSON blobs or Base64 media literals, the semantic bundle preserves:
- Goal identity (
id,shortKey,title,description), atomic/cluster classification,weight,core, and dimension metadata; - Direct
containscomposition and didacticrequiresprerequisites; - Program structure (
programUnits),goalPlacements, competency axes (competencyCatalog,competencyRefs), and learner-facing composition views; - Official source/provenance references plus
goal-visualizationreferences (schema:ImageObject) paired with byte-identical SHA-256 image sidecars (learner mastery state stays strictly outside public curriculum bundles).
10.2. Core-First FWU Alignment and Application Profile
| Relation / Concept | Core-First RDF/OWL Representation & Constraints | | –- | –- | | Didactic requires | Specialized reified LP_0000554 resource attached via LP_0030071 (hat Verweis) and pointing to the prerequisite via LP_0030072 (verweist auf, introduced in FWU-DE/lehrplan-ontologie#9). Generic CE-Verweis links must never be misread as prerequisites. | | Curricular contains | BFO_0000051 (hat Teil) only for genuine curricular part-whole relations, paired with skillpilot:containsGoal on every authored direct edge so transitive BFO reasoner inferences never obscure direct edges (mixed practice/exam/memory/navigation edges use only skillpilot:containsGoal). | | Minimal application terms | skillpilot:{LearningGoal,AtomicGoal,ClusterGoal,containsGoal,weight,core,shortKey,ProgramUnit,GoalPlacement,CompositionView,GoalVisualizationReference} plus schema:ImageObject for binary sidecars. | {cols="28%,72%"}
Success requires full SkillPilot validator conformance (acyclic requires/contains, referential integrity, valid composition views), deterministic field equivalence, OWL 2 DL / structural core validation, and byte-identical image SHA-256 verification without hidden access to the original JSON input.