README - Knowledge Engineering Projects

1.4 Stable

This repository contains projects related to Knowledge Engineering, developed as part of different topics. Below is a description of the projects included in each thematic folder:

Topic 1: Data Analytics

This folder contains a data analytics project that uses a CSV file with information about cyberattacks. The goal of the project is to extract insights and display them in an interactive dashboard developed with Streamlit.

Main Files

• ciberataques.csv: Dataset with information about cyberattacks.
• dashboard.py: Python script that generates the interactive dashboard using Streamlit.

How to Run

1. Install the required dependencies by running:

   pip install -r requirements.txt

2. Run the dashboard with:

   streamlit run dashboard.py

---

Topic 2: Movie Recommendation System

This project uses Prolog to implement a rule-based movie recommendation system. The system recommends movies based on user preferences.

Main Files

• recomendador.pl: Prolog file containing the rules and knowledge base for recommendations.

How to Run

1. Open the recomendador.pl file in a Prolog interpreter.

2. Make queries to get recommendations, for example:

   ?- recomendar_pelicula(action, Recommendation).

---

Topic 3: Family Tree

This folder contains a project that implements a family tree using Prolog and the PySWIP library to integrate it with Python. The system allows queries about family relationships.

Main Files

• arbol_genealogico.pl: Prolog file with the knowledge base of the family tree.
• consultas.py: Python script that uses PySWIP to query the family tree.

How to Run

1. Install PySWIP by running:

   pip install pyswip

2. Run the query script with:

   python consultas.py

Requirements

• Python 3.8 or higher
• Prolog (SWI-Prolog recommended)
• Additional libraries specified in the requirements.txt files of each project.

---

Made with ❤️ for Alejandro Barrientos Escalante and ESCALIA Corporation