Sahihly : Application Intelligente pour la Représentation et la Validation des Hadiths

Abstract

This thesis focuses on the design and development of a smart mobile application called Sahihly. Its goal is to facilitate the search and verification of the authenticity of prophetic hadiths. The application allows users to consult hadiths ranked by their degree of authenticity via a user-friendly interface and helps them understand the meaning of religious concepts. Sahihly is built on a modern architecture, using Flutter for the mobile application, Node.js for the backend, and MariaDB for the database. A key element of the system is a custom API that handles queries and simulates simple semantic reasoning, without using complex platforms like Protégé or standardized algorithms like Sørensen–Dice. The way domain knowledge is organized follows the principles of semantic modeling, but in a relational manner via this API. Functionalities are described using UML diagrams. The design of the knowledge base is inspired by the METHONTOLOGY methodology [1], although we have adapted it to our needs. This work paves the way for a future, more advanced reasoning engine.