A SEMWORD based Semantic Secure Content Retrieval System in E-learning

Objectives: The semantic e-learning model aims to be the next generation of as it enables advanced representation, manipulation and re-use learning materials knowledge semantics in efficient online experiences. modeling semantic-based content retrieval for with secured content. This system will provide users access relevant educational resources an easy-to-use, secure, anonymous environment using technologies. Methods: Semantic Web resource description format is proposed this document by a framework automatically generating words (SEMWORD) based on user’s keyword. Findings: Using SEMWORD user queries generate RDF (Resource Description Framework) query processor, work find In order content, word mapped. e-learning, tuned built into constraints, such B. ensure security, Learner needs log enter their credentials. Students are recommended information interests retrieved Novelty applications: e-Learning employs web three-fold utilization. It includes describing SEMWORD, defining contexts, structuring courses technology security aspect novel encryption algorithm. Multidimensional use innovative can potentially improve its effectiveness. Keywords: Web; E-learning; SEMWORD; Security; Ontology; Content Retrieval System