SemSEX

This repository contains an ontology related to sexual education, represented in Turtle file format, along with machine learning models for detecting concepts defined in the ontology.

Repository Structure

📦 SemSEX Repository
├── 📂 Ontology
│   ├── 📄 SemSEX.ttl
│   └── 📂 docs
├── 📂 Concept-Detection
│   ├── 📂 Curriculum documents
│   ├── 📂 dataset_preparation
│   ├── 📂 Classifiers
│   ├── 📄 common.py
│   ├── 📄 README.md
│   └── 📄 requirements.txt
└── 📄 README.md

1. Ontology

The ontology is stored in the "Ontology" folder, which contains the following:

• SemSEX.ttl: This Turtle file represents the sexual education ontology, capturing various concepts related to the subject.

• docs: The docs directory contains the documentation of the ontology in the html format. The main file is index.html.

2. Concept Detection

The "Concept-Detection" folder contains machine learning models for detecting concepts defined in the ontology. Each model is stored as an individual file:

• Curriculum documents: Contains raw documents with description of curriculums. The documents are annotated with concepts from the ontology.
• dataset_preparation: Contains python code for converting the raw pdf documents into pandas dataframes that can be used for training the classifiers.
• Classifiers: Contains classifiers written in python for automatically detecting concepts from sexual education.
• common.py: A helper file containing functions useful across other documents
• README.md: Instructions for running the classifiers and the description of their results.
• requirements.txt: A list of required python packages.

Feel free to explore and use these models for concept detection based on the sexual education ontology.

3. README.md

This file serves as an introduction and guide to the repository, outlining its structure, content, and purpose.