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Abstract: Ontology and Semantic is considered to the next generation of web that benefits many different fields like bio-informatics, Data transformation & integrations. Considering this, the E-learning plays a vital role in Learning Management System (LMS), which includes the modules like content development, assessment, feedback, course management and etc. The web application is developed with various LMS features integrated with Semantic Web. Typically, the application runs on Google Cloud Platform which is being served to all users anytime to access. This application is incorporated with semantic web to provide the LMS to the users that works mainly on the principle of extracting the knowledge from the user interaction via the assessments and analyze their behavior / actions on the level of the particular course content and translate them in to semantics which are represented as Ontologies. An intelligent workflow and learning plan for the user is derived and recommended to the user/ learner based upon the learner's performance on the previous assessments.

According to Bloom’s Taxonomy, Cognitive Development is to transform the thinking levels of students from a Low Order Cognition (LOC) to a Higher Order Cognition (HOC). According to Bloom there are six levels within the cognitive sphere which include the dimensions; remembering, understanding, applying, analyzing, evaluating and creating. This article presents a scientific method to evaluate whether question papers administered by an institution caters to all the aforesaid cognitive level of Bloom’s Taxonomy. A software application QAUDIT was created to analyze the same using the text mining method to find terms or words pertaining to each question in the question paper. Text extraction and text categorization mechanism were employed in the software application.