# Changelog

All notable changes to the Semantic Model Data Mapper project are documented in this file.

## [Current] - 2024-11-08

### Fixed
- **Critical Import Error**: Added missing RDF namespace imports in SKOS coverage validator
- **CLI Parameter Mismatch**: Updated demo scripts to use `--data` instead of deprecated `--spreadsheet` 
- **Syntax Errors**: Fixed indentation and control flow issues in demo scripts
- **Traceback Issues**: Replaced `typer.Exit` with `sys.exit` for clean command exits in validate-ontology
- **Documentation Consolidation**: Cleaned up redundant documentation files

### Added
- Comprehensive workflow guide with working examples
- Consolidated developer documentation
- Clean validation testing scripts
- Quickstart demo script for basic workflow

### Improved
- Demo scripts now run without errors or confusing tracebacks
- All CLI commands tested and verified working
- Clean, professional output for validation failures
- Better error handling and user experience

## [Previous Releases]

### Core Features Implemented
- **Mapping Generation**: Automatic configuration generation from ontologies and data
- **Semantic Alignment**: Intelligent matching with confidence scoring
- **Ontology Enrichment**: SKOS label addition for improved mapping quality
- **Multiple Format Support**: CSV, XLSX, JSON, XML input; TTL, RDF/XML, JSON-LD output
- **SHACL Validation**: Constraint checking and validation reporting
- **Statistics Tracking**: Improvement trend analysis over time
- **Interactive Enrichment**: User-guided ontology enhancement
- **Command Line Interface**: Full-featured CLI with rich output

### Data Processing Capabilities
- **Large File Handling**: Chunked processing for memory efficiency
- **Multi-sheet Support**: Excel workbook processing
- **Nested JSON/XML**: Complex structure flattening
- **Data Transformations**: Built-in cleaning and conversion functions
- **Error Handling**: Comprehensive error reporting and recovery

### Semantic Web Standards
- **RDF Generation**: Standards-compliant triple production
- **OWL2 Support**: Full ontology language support
- **SKOS Integration**: Label-based semantic matching
- **SHACL Validation**: Shape constraint validation
- **Namespace Management**: Proper URI handling and prefixes

### Analysis and Intelligence
- **Confidence Scoring**: Quality metrics for mappings
- **Coverage Analysis**: SKOS label coverage assessment
- **Alignment Reports**: Detailed mapping quality analysis
- **Trend Tracking**: Historical improvement monitoring
- **Suggestion Engine**: Automated improvement recommendations

### User Experience
- **Rich CLI Output**: Colored, formatted command-line interface
- **Progress Reporting**: Real-time processing updates
- **Interactive Modes**: User-guided enhancement workflows
- **Comprehensive Help**: Built-in documentation and examples
- **Error Recovery**: Graceful handling of common issues

## Development Milestones

### Phase 1: Core Infrastructure
- Basic mapping configuration format
- CSV parsing and RDF generation
- Simple property mappings
- Command-line interface foundation

### Phase 2: Intelligence Layer
- Ontology analysis capabilities
- Automated mapping generation
- Semantic alignment scoring
- SKOS label matching

### Phase 3: Enhancement Cycle
- Alignment report generation
- Ontology enrichment workflows
- Interactive improvement modes
- Statistics and trend tracking

### Phase 4: Production Ready
- Multi-format support (XLSX, JSON, XML)
- Large file processing optimization
- Comprehensive validation
- Documentation and examples

### Phase 5: Quality Assurance
- End-to-end testing
- Demo script validation
- Error handling improvements
- User experience polish

## Technical Achievements

### Performance
- Memory-efficient chunked processing
- Optimized string matching algorithms
- Lazy loading of large ontologies
- Configurable processing parameters

### Robustness
- Comprehensive error handling
- Input validation and sanitization
- Graceful degradation for edge cases
- Detailed logging and diagnostics

### Extensibility
- Pluggable parser architecture
- Custom transformation support
- Configurable validation rules
- Modular component design

### Standards Compliance
- W3C RDF/OWL standards adherence
- SHACL constraint validation
- SKOS vocabulary integration
- Proper semantic web practices

## Known Issues and Limitations

### Resolved
- ✅ Demo scripts with import errors and CLI mismatches
- ✅ Confusing tracebacks in validation failures
- ✅ Redundant and outdated documentation
- ✅ Path resolution issues in examples

### Current Limitations
- Large ontologies may require significant memory
- Complex nested structures need manual mapping refinement
- Interactive modes require user expertise in semantic web concepts
- Performance optimization needed for very large datasets (>1M rows)

## Future Roadmap

### Short Term
- Performance optimization for large datasets
- Additional data format support
- Enhanced error messages and user guidance
- Automated testing pipeline

### Medium Term
- Web-based user interface
- Database backend support
- Distributed processing capabilities
- Advanced analytics and visualization

### Long Term
- Machine learning-enhanced mapping suggestions
- Real-time streaming data processing
- Enterprise-scale deployment options
- Integration with semantic web ecosystems

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This changelog reflects the current state of a mature, functional semantic data mapping tool with comprehensive features and capabilities.
