Refine canonical meeting knowledge architecture
- establish Canonical Meeting Knowledge as the semantic source of truth - introduce Output View Rendering architecture - define Working Protocol, Distribution Protocol and Knowledge Objects as parallel renderers - document renderer responsibilities and terminology - clarify future Knowledge Object architecture - document long-term reuse for enterprise knowledge systems
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@@ -100,9 +100,11 @@ Specialized Extraction
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↓
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Consolidation
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↓
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Structured Meeting Data
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Canonical Meeting Knowledge
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↓
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Protocol Generation
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Output View Rendering
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↓
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Working Protocol / Distribution Protocol / Knowledge Objects
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```
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Each stage solves one clearly defined problem.
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@@ -185,11 +187,25 @@ Typical responsibilities:
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## protocol/
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Generates human-readable output from structured meeting data.
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Generates output views from Canonical Meeting Knowledge.
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Protocol generation never invents information.
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Output generation never invents information.
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It only reformulates the analysis results.
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It only reformulates the analysis results for a specific audience and purpose.
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Depending on the output and maturity of the implementation, a renderer may be
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deterministic, template-based or LLM-assisted.
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The planned output products are:
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- Working Protocol (`working_protocol.md`, Arbeitsprotokoll)
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- Distribution Protocol (`distribution_protocol.md`,
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Verteilerprotokoll)
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- Knowledge Objects, which may be rendered as a Knowledge-base Entry
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(`knowledge_entry.md`) and later stored in a structured format such as
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`knowledge_entry.json` (Wissensdatenbankeintrag)
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These are parallel renderings of the same canonical semantic model, not
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documents derived from one another.
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---
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@@ -214,6 +230,7 @@ Examples:
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- segmentation.md
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- prompts.md
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- experiments.md
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- output-views.md
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The architecture document only describes the overall system.
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@@ -231,6 +248,11 @@ The current extraction step still performs multiple tasks simultaneously.
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This was sufficient as a proof of concept but does not reflect the intended long-term architecture.
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The current protocol builder is also an interim implementation. It concatenates
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extraction results into `meeting_protocol.md` for technical validation. The
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planned architecture separates Canonical Meeting Knowledge from the final Output
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Views documented in `output-views.md`.
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---
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# Next Milestone
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@@ -256,4 +278,4 @@ Only after reliable topic segmentation has been achieved will the specialized ex
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The Meeting Lab assumes that the greatest improvement in transcript quality will not come from increasingly powerful language models.
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Instead, quality is expected to emerge from a pipeline that decomposes a complex problem into many small, clearly defined and independently testable processing steps.
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Instead, quality is expected to emerge from a pipeline that decomposes a complex problem into many small, clearly defined and independently testable processing steps.
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