Ontology for Road Traffic Injuries in Ghana
# Road Traffic Injury Ontology (RTIO)
An epidemiological framework ontology for analyzing road traffic injuries in Ghana with a focus on Person-Place-Time relationships.
**Student Information:**
- **Student Name**: John Amissah
- **Student ID**: 22205995
- **Course**: KNOWLEDGE-BASED SYSTEM (KNBS)
- **Institution**: DEGGENDORF INSTITUTE OF TECHNOLOGY
- **Programme**: GLOBAL PUBLIC HEALTH
- **Academic Year**: SUMMER SEMESTER,2025
- **Course Professor**: PROF. DR. DOMINIK BÖHLER
- **Date**: 14.07.2025
**Project Title:**: Road Traffic Injury Ontology Development
## 📋 Overview
The Road Traffic Injury Ontology (RTIO) is a semantic model designed to capture and analyze road traffic accidents and injuries within Ghana's context. The ontology follows an epidemiological framework based on **Person**, **Place**, and **Time** dimensions to provide a structured representation of traffic incidents, their causes, consequences, and emergency response patterns.
### Key Features
- **Ghana-specific context**: Includes local healthcare facilities (KATH, 37 Hospital, Nyaho) and emergency services
- **Person-centered analysis**: Traffic participants, demographics, and injury outcomes
- **Geographic modeling**: Specific Ghana locations (Circle, TechJunction, TemaMotorway, Ejisu, Nkawkaw)
- **Temporal analysis**: Accident timing patterns and emergency response coordination
- **Injury classification**: Severity-based categorization with treatment requirements
- **Emergency response**: Ghana Ambulance Services, MTTD, Fire Department integration
- **Seasonal factors**: Dry season dust haze and rainy season pothole contexts
## Ontology Structure
### Core Classes
#### Person Dimension
- `TrafficParticipant`: Driver, Passenger, Pedestrian (disjoint classes)
- `PersonDemographics`: Age, gender demographics
- `InjuryType`: Fracture, HeadInjury, InternalInjury, Laceration (with severity levels)
- `VulnerableRoadUser`: Pedestrians and motorcycle/bicycle operators
#### Place Dimension
- …