ontology-mapper

# Ontology Mapper

## Overview

Based on DDC methodology (Chapter 2.2), this skill maps construction data to standard ontologies like IFC, COBie, Uniclass, and OmniClass, enabling semantic interoperability between systems.

**Book Reference:** "Доминирование открытых данных" / "Open Data Dominance"

## Quick Start

```python
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Set, Tuple
from datetime import datetime
import json
import re

class OntologyType(Enum):
    """Standard construction ontologies"""
    IFC = "ifc"                    # Industry Foundation Classes
    COBIE = "cobie"                # Construction Operations Building Information Exchange
    UNICLASS = "uniclass"          # UK classification
    OMNICLASS = "omniclass"        # North American classification
    MASTERFORMAT = "masterformat"  # CSI MasterFormat
    UNIFORMAT = "uniformat"        # CSI UniFormat
    CUSTOM = "custom"              # Custom ontology

class MappingConfidence(Enum):
    """Confidence level of mapping"""
    EXACT = "exact"        # 100% match
    HIGH = "high"          # 90%+ match
    MEDIUM = "medium"      # 70-90% match
    LOW = "low"            # 50-70% match
    UNCERTAIN = "uncertain" # <50% match

class RelationType(Enum):
    """Types of relationships between concepts"""
    EQUIVALENT = "equivalent"     # Same concept
    BROADER = "broader"           # Source is more specific
    NARROWER = "narrower"         # Source is more general
    RELATED = "related"           # Related but not equivalent
    PART_OF = "part_of"           # Component relationship
    HAS_PART = "has_part"         # Contains components

@dataclass
class OntologyConcept:
    """Concept in an ontology"""
    id: str
    name: str
    ontology: OntologyType
    definition: Optional[str] = None
    parent_id: Optional[str] = None
    synonyms: List[str] = field(default_factory=list)...