Amharic news classification using ontology and machine learning"
# Amharic-News-Classification
Amharic news classification using ontology and machine learning"
# Amharic News Ontology (ANO)
A comprehensive OWL ontology for Amharic news classification and semantic analysis. This ontology provides structured knowledge representation for Ethiopian news domains.
## 📁 Files
- `amharic-news-ontology.owl` - Main ontology file in OWL/XML format
## 🏗️ Ontology Structure
### Core Classes
- **NewsArticle** - Base class for news articles
- **NewsCategory** - Main news categories with subclasses:
- `Politics` (ፖለቲካ)
- `Sports` (ስፖርት)
- `Business` (ቢዝነስ)
- `Entertainment` (መዝናኛ)
- `NationalNews` (ሀገር አቀፍ ዜና)
- `InternationalNews` (አለም አቀፍ ዜና)
### Subclass Hierarchy
Each main category has specialized subclasses:
- **Politics**: Elections, Governance, ForeignPolicy, Legislation
- **Sports**: Football, Athletics, Basketball, Olympics
- **Business**: Economy, Finance, Trade, Market
- **Entertainment**: Music, Movies, Theater, Arts
### Object Properties
- `hasTopic` - Links articles to categories
- `isRelatedTo` - Defines semantic relationships
- `isPartOf` - Represents hierarchical composition
- `hasSubEvent` - Captures event relationships
### Data Properties
- `hasFrequency` - Concept occurrence tracking
- `hasDiscriminativePower` - Feature importance scoring
- `lastUpdated` - Ontology maintenance timestamp
### Individuals
187 domain-specific instances including:
- Political parties (Prosperity Party, Ezema Party)
- Sports teams (Ethiopia National Team, St. George FC)
- Business entities (Commercial Bank, Ethio Telecom)
- Entertainment personalities (Teddy Afro)
- Geographic locations (Addis Ababa, United Nations)
## 🔧 Tools for Editing
### Recommended Editors:
1. **Protégé** (Professional) - Download from protege.stanford.edu
2. **WebProtégé** (Web-based) - Access at webprotege.stanford.edu
3. **VS Code** with OWL extensions
### VS Code Extensions:
```bash
# Install these extensions:
- OWL Syntax Highlighting
- XML Tools
- RDF and OWL …