Ingest
A source representation enters the semantic compression boundary.
DigiEmu Technology
SKC
Semantic knowledge compression.
Reconstructable semantic state designed for deterministic compression, reconstruction and verification.
01
Overview
What it is
SKC explores a canonical semantic state space in which knowledge can be represented more compactly while retaining the structure required for deterministic reconstruction and graph-level verification.
02
Architecture
Compression is useful only if meaning survives.
SKC separates semantic structure from redundant representation. The goal is not arbitrary size reduction, but a compact semantic core that can be reconstructed and evaluated against the original knowledge structure.
Normalize
Relevant semantic units and relationships are normalized into a stable representation.
Compress
Redundant representation is reduced while retaining the semantic core.
Reconstruct
The compact state is expanded into a reconstruction of the original semantic structure.
Verify
Reconstruction fidelity and graph-level equivalence can be evaluated.
03
Workflow
Reduce representation, preserve structure.
SKC treats compression as a reversible semantic transformation. Each stage remains inspectable so reduction can be distinguished from semantic loss.
A
Measure
Establish the size and structure of the original knowledge representation.
B
Extract
Identify the semantic core required to preserve meaningful relationships.
C
Encode
Represent the semantic core in a more compact deterministic form.
D
Rebuild
Reconstruct the expected knowledge structure from the compact representation.
E
Compare
Evaluate reconstruction fidelity, graph equivalence and reduction metrics.
04
Evidence
Compression must leave measurable evidence.
SKC makes compression quality inspectable through explicit measurements rather than treating a smaller output as sufficient evidence of success.
Blueprint size
Size of the original representation used as the comparison basis.
Semantic core size
Size of the compact semantic representation.
Reduction ratio
Measured reduction between the original and compact representations.
Reconstruction fidelity
Degree to which the original semantic structure can be reconstructed.
Graph equivalence
Comparison of important semantic relationships before and after reconstruction.
Deterministic result
A repeatable reconstruction and validation outcome for the same defined inputs.
05
Boundaries
Semantic compression is not semantic omniscience.
SKC can evaluate preservation within its represented semantic boundary. It does not claim that the representation captures every possible meaning or interpretation.
- SKC does not prove that the source knowledge itself is factually correct.
- SKC does not prove that every possible human interpretation has been preserved.
- Compression ratios are meaningful only relative to the defined source and reconstruction basis.
- Reconstruction fidelity depends on what information is represented inside the semantic boundary.
- Determinism applies to the defined transformation and reconstruction process, not to unspecified external context.
06
Pilot
Start with one semantic corpus.
An SKC pilot starts with a bounded body of structured or semi-structured knowledge where reduction, reconstruction and semantic integrity can all be measured.
Choose a corpus
Select one bounded knowledge set with a clearly measurable source representation.
Define fidelity
Agree which semantic relationships must survive compression and reconstruction.
Compress and verify
Measure reduction, reconstruct the semantic state and compare the result against the agreed fidelity boundary.
Baumgartner Systems
Start with one workflow.
Give us one AI-assisted process worth verifying.
Discuss a Pilot