Similarity Contents Selection Mechanism for Learner's Device Using Delivery Context Ontology and Rules

Nowadays, learners use not only PC but also their own mobile devices for e-learning. For this, author should make various versions of learning contents for device specification and learning management system provides suitable contents for device specification. To select suitable contents for learner's devices, previous researches propose contents selection method that describe suitability score for each attributes and it is hard to express author's intention. Also, it is hard to select learning contents that reflect changed user preference during learning time. In this research, we add user preference on the contents selection method to select suitable contents among various versions contents that has same learning context. Also we use ontology and rules for description of profiles and various intentions. We prove proposed method has similar search performance with previous method.