Evidence / Knowledge Engineering System

Problem

Technical knowledge loses its value when claims detach from their sources: how can structured entities, source provenance, and reviewable content support retrieval and knowledge maintenance?

Context

The project explores how structured entities, source provenance, and reviewable content can support technical retrieval and knowledge maintenance.

Constraints

• Proposed components must stay clearly separated from implemented ones; nothing may be presented as built before it is.
• No performance or quality metrics may be claimed until a published evaluation exists.

Architecture

The system is designed around provenance-aware knowledge: entities and claims carry their sources, relationships record how knowledge was derived, and review workflows gate what becomes retrievable.

• Entity and claim modelDefines ontology boundaries for what the system represents.
• Provenance relationsRecords the source and derivation of each relationship.
• Review workflowsGate content before it becomes part of retrievable knowledge.
• Content validationEnforces structural and editorial rules on ingestion.
• Reading interfaceExposes the knowledge to human inspection.

Implementation

Work is in progress across ontology boundaries, provenance-aware relationships, content validation, and a public reading interface. Each area is tracked as design-plus-partial-implementation, not as completed functionality.

Evaluation

No evaluation has been run. Consistent with the project's own rule, no performance or quality metrics are claimed until there is a published evaluation.

Results

• Scope and boundaries established

  Ontology boundaries, provenance-aware relationships, content validation, and a reading interface are fixed as the system's scope; anything outside them is explicitly out of scope.

• Proposed-versus-implemented discipline

  The project maintains a visible boundary between proposed components and implemented ones, so readers never mistake direction for delivery.

Limitations

This is an architecture study: the architecture itself is the artifact, and implementation is partial.

Without an evaluation, nothing is known about retrieval quality, scaling behavior, or review throughput.

Ontology choices have not been tested against diverse or adversarial content.

Lessons

Fixing what the system will not represent is as valuable as defining what it will: boundaries prevent scope creep in knowledge projects.

Provenance must be designed in from the start; it cannot be reconstructed after claims detach from sources.