Semi-automatic building of Domain Module by use of novel machine learning approach

The Domain Module is considered the core of any TSLSs as it represents the knowledge about a subject matter to be communicated to the learner. In the existing system, proposed a DOM-Sortze is a system that uses natural language processing techniques, heuristic reasoning, and ontologies for the semiautomatic construction of the Domain Module from electronic textbooks. But in this system, still lack in the identification of pedagogical relationships. This is needed to improve in this system. To overcome this issue, Here using learning techniques to learn the new rules in the pedagogical relationships. In this proposed system, proposing the SVM (support vector machine) learning approach intended for learning process. The machine learning methods are used to infer new rules in order to improve the identification of pedagogical relationships or the DRs in the electronic textbooks.