Towards applying OCR and Semantic Web to achieve optimal learning experience

Abstract

As more and more learners are opting for onlinelearning, e-learning industry is working on improving learningexperience of online user by providing relevant content and lotof additional references. Since online learners mostly prefervideo tutorials, identifying major topics and subtopics coveredin video tutorial is a big challenge. Recently, for efficientknowledge sharing and interoperability over web lot ofattention is given to semantic web. In this paper, we propose asemantic web-based framework for automatic topicidentification from video tutorials in order to identify theconcepts and their associated semantically relevant resources. Our framework identifies relevant topic using disambiguationin e-learning resource which helps learners in more focused study.