Semantic Core Epic

User Journey

The Semantic Core bounded context serves as the central DSL processing engine for the SEA™ platform. It parses, compiles, and validates SEA-DSL specifications across all contexts, ensuring unified business semantics, automated rule enforcement, semantic context for AI agents, and dynamic knowledge discovery through the Knowledge Graph.

Jobs to be Done & EARS Requirements

Job: Define Unified Business Semantics

User Story: As a Business Analyst, I want to define a new business policy using SEA™ DSL, so that it is consistently applied across all enterprise systems and understood by AI agents.

EARS Requirement:

• When a business user defines business concepts and rules in the SEA™ DSL, the semantic-core context shall:
  1. Parse DSL document via ParseDocument flow using tree-sitter-sea grammar
  2. Generate AST (Abstract Syntax Tree) with complete syntax node hierarchy
  3. Compile to IR (Intermediate Representation) via CompileToIR flow
  4. Generate executable manifest via GenerateManifest flow with code generation targets
  5. Validate semantics via ValidateSemantics flow checking business rules
  6. Store validated specifications in Knowledge Graph for enterprise-wide access
  7. Ensure deterministic output: same input produces same AST, IR, and manifest

Job: Enforce Automated Business Rules

User Story: As a Compliance Officer, I want the system to automatically flag transactions that violate regulatory business rules, so that I can ensure continuous compliance.

EARS Requirement:

• When a business rule is violated, the semantic-core context shall:
  1. Detect rule violation through continuous validation monitoring
  2. Identify specific rule and violation details from DSL specification
  3. Trigger predefined action based on violation severity:
     • Alert: Notify stakeholders with violation details
     • Block Transaction: Prevent non-compliant operation
     • Suggest Correction: Provide remediation guidance
  4. Log violation event for audit trail and reporting
  5. Update violation metrics for compliance dashboards

Job: Provide Semantic Context for AI

User Story: As the Artifact Engine, I want to query the Knowledge Graph for semantic relationships between business entities, so that I can generate highly relevant cognitive artifacts.

EARS Requirement:

• When an AI agent accesses the knowledge base, the semantic-core context shall:
  1. Query Knowledge Graph for semantic relationships using SPARQL
  2. Retrieve rich, semantically grounded context including:
     • Business entity definitions and relationships
     • Policy rules and constraints
     • Domain concepts and vocabulary
  3. Enable accurate and context-aware AI responses
  4. Support relationship traversal for complex semantic reasoning

Job: Enable Dynamic Knowledge Discovery

User Story: As a Business Analyst, I want to perform a graph traversal query to identify indirect dependencies between products and suppliers, so that I can assess supply chain risks.

EARS Requirement:

• When a knowledge worker explores the knowledge base, the semantic-core context shall:
  1. Accept SPARQL graph traversal queries with traversal constraints:
     • maxDepth, maxNodesVisited, timeoutMs
  2. Navigate complex relationships between entities within constraints
  3. Infer new insights from connected knowledge
  4. Return query results with relationship paths and evidence:
     • Intermediate nodes with types
     • Relationship labels and directions
     • Confidence scores
     • Source citations (DSL specs, entities)
  5. Provide result format definition:
     • JSON-LD or ordered list of triples with optional visualization payload
  6. Support informed decision-making through knowledge exploration

Job: Enforce SHACL Validation at Runtime

User Story: As the Knowledge Graph Operator, I want to enable SHACL enforcement per context with clear diagnostics and migration guidance, so that I can safely roll out validation without disrupting production.

EARS Requirement:

• When SHACL validation is enabled, the semantic-core context shall:
  1. Enforce SHACL shapes consistently across contexts with configurable modes:
     • strict (block writes), permissive (log-only), per-context overrides
  2. Guarantee knowledge graph integrity through constraint validation
  3. Provide detailed diagnostics for validation failures:
     • Specific constraint violations
     • Entity and property paths causing errors
     • Severity levels (error, warning, info) aligned with the canonical severity taxonomy
  4. Generate migration guidance for controlled rollout:
     • Step-by-step remediation instructions
     • Impact analysis for validation changes
     • Rollback procedures if needed
  5. Support per-context enablement for gradual deployment
  6. Meet performance requirements:
     • Synchronous validate-on-write target <100ms for single-entity writes
     • Asynchronous batch validation for large graphs
     • Optional validate-on-read for high-risk queries
  7. Emit observability metrics:
     • Validation latency, error rates, and violation counts
     • Rollout impact metrics (throughput, resource usage)

Domain Entities Summary

Root Aggregates

• DSLDocument: Represents a SEA-DSL specification file with content, namespace, version, and parsing status
• ASTNode: Abstract Syntax Tree node representing parsed DSL structure with type, properties, and children
• IRRepresentation: Intermediate Representation for compilation with optimized structure and metadata
• Manifest: Executable specification with code generation targets and configuration
• KnowledgeGraphEntry: RDF triple stored in Knowledge Graph with subject, predicate, and object
• SHACLShape: Validation constraint definition with target class, property constraints, and severity

Value Objects

• ValidationResult: Outcome of semantic validation with status, errors, warnings, and diagnostics
• RelationshipPath: Traversal path through Knowledge Graph showing entity connections
• MigrationGuide: Step-by-step instructions for SHACL validation rollout

Policy Rules

• DeterministicCompilation: Same DSL input must produce identical AST, IR, and manifest
• GraphIntegrity: Knowledge Graph must maintain referential integrity and consistency
• SHACLSafety: Validation failures must not corrupt data or prevent rollbacks

Integration Points

• All Bounded Contexts: Processes SEA-DSL specifications for every context in the platform
• Knowledge Graph (Oxigraph): RDF triple store for semantic relationships and SPARQL queries
• Cognitive Extension Context: Provides semantic grounding for AI agent responses
• Query Context: Supplies parsed policy structure for RAG retrieval
• Governance Runtime Context: Provides validated specifications for enforcement
• Developer Tooling Context: Integrates with LSP for real-time validation feedback
• Ingest Context: Processes ingested policies through DSL compilation pipeline