Rule-based Erasmus recommendation system

The problem of the students, staff and other participants who will participate in this program since it was introduced in Turkey of European Education and Youth programs was to select the most appropriate country to leave. In this study, problem-solving efforts were made slightly. Rules-based system is designed for propose of the most appropriate country to the user. System is modeled as expert system which is Artificial Intelligence technics. Our expert system has been developed using Semantic Web technologies. Ontology is used as a knowledge base. Firstly, Decision Tables (Decision Table) has been prepared according to the terms and conditions presenting to the participants by Erasmus + program. Then, the rules was determined according to the terms and attached to the ontology by the rule language. In the end, the rules with the inference and query mechanisms has been processed and the system has made the country's proposition. The project was initially designed in a way that will appeal to students only in the higher education field who wish to study in the member countries. The project can be developed expanding properly to all main and special action participations in any time.