πŸ”„ Semantica Framework - Complete Visual Workflow

End-to-End Processing Workflow

πŸ“₯ INGESTION

Extensive Formats

Files β€’ Web β€’ Feeds

Databases β€’ Streams

β†’

πŸ“„ PARSING

Extract Content

Structure Detection

Metadata Extraction

β†’

🧹 NORMALIZATION

Text Cleaning

Format Standardization

Encoding Handling

↓

βœ‚οΈ CHUNKING

Semantic Splitting

Structure-Aware

Table Handling

β†’

πŸ”’ EMBEDDINGS

Vector Generation

Multi-Modal

Context-Aware

β†’

🧠 EXTRACTION

Entities β€’ Relations

Events β€’ Triples

Coreference

↓

πŸ•ΈοΈ GRAPH BUILDING

Entity Resolution

Conflict Detection

Deduplication

β†’

πŸ“š ONTOLOGY

Multi-Stage Pipeline

W3C OWL

Symbolic Validation

β†’

βœ… QUALITY ASSURANCE

Schema Enforcement

Quality Scoring

Provenance Tracking

↓

πŸš€ APPLICATION LAYER

GraphRAG β€’ AI Agents

Multi-Agent β€’ Analytics

Feature Capabilities Matrix

Feature Category Capabilities Output
Data Ingestion βœ“ Extensive file formats
βœ“ Web scraping & feeds
βœ“ Database connectors
βœ“ Real-time streaming
βœ“ Email processing
βœ“ Archive extraction
Structured source objects with metadata
Semantic Extraction βœ“ Named Entity Recognition
βœ“ Relationship Extraction
βœ“ Event Detection
βœ“ Triple Extraction (RDF)
βœ“ Coreference Resolution
βœ“ LLM Enhancement
Entities, relationships, events, triples
Knowledge Graph βœ“ Automatic construction
βœ“ Entity resolution
βœ“ Temporal support
βœ“ Graph analytics
βœ“ Version management
βœ“ Multi-source integration
Production-ready knowledge graphs
Ontology Generation βœ“ Multi-stage LLM pipeline
βœ“ Automatic class inference
βœ“ Property generation
βœ“ W3C OWL compliance
βœ“ Symbolic validation
High Quality
W3C-compliant OWL ontologies
GraphRAG βœ“ Hybrid retrieval
βœ“ Graph expansion
βœ“ Context building
βœ“ Reranking
βœ“ Citation support
Enhanced accuracy
Enhanced RAG with graph context
Quality Assurance βœ“ Conflict detection
βœ“ Conflict resolution
βœ“ Duplicate detection
βœ“ Entity merging
βœ“ Schema enforcement
βœ“ Quality scoring
Validated, high-quality knowledge
AI Applications βœ“ Context engineering
βœ“ Agent memory
βœ“ Multi-agent coordination
βœ“ Reasoning & inference
βœ“ Tool registry
Context-aware AI systems

Key Processing Features

πŸ“Š Universal Ingestion
Process extensive formats from files, web, databases, streams, emails, and archives
🧠 Semantic Intelligence
Extract entities, relationships, events with multiple NER models and strategies
πŸ•ΈοΈ Knowledge Graphs
Build production-ready graphs with entity resolution and conflict handling
πŸ“š Ontology Generation
Automatic multi-stage pipeline generating W3C-compliant OWL ontologies
πŸ”— GraphRAG Engine
Hybrid retrieval combining vector search with graph traversal
πŸ€– AI Agent Support
Context engineering, persistent memory, and graph-based reasoning
πŸ”§ Quality Assurance
Conflict detection, deduplication, schema enforcement, quality scoring
πŸ“€ Export & Integration
RDF, JSON-LD, Neo4j, vector stores, triple stores, standard formats

Performance Capabilities

High Throughput

Document Processing

Efficient

Entity Extraction

Rapid

Triple Generation

High Accuracy

GraphRAG

Excellent

Ontology Quality


Document Version: 2.0 | Semantica Framework Visual Workflow | Last Updated: 2025