Ontology-based modeling student learning behaviour analysis in digital library domain knowledge using Markov chain and GUHA

摘要

In current days, student learning model in digital library has leading boom. We propose domain ontology for student learning process in digital library to track student behavior. This method used to categories its users conferring to their behavior. The proposed model provides sensible support to students for utilizing knowledge resources which improves the required types of resources and facilities used by students. We used General Unary Hypotheses Automaton (GUHA) and Markov chain-based analysis for modeling student activities and we integrate student profile (historical) data relating their behavior which helps to provide interested topics.