An Intelligent Learning Management System using Ontology
Poovizhi Magendiran1, Ravi Lourdusamy2
1Poovizhi Magendiran, Department of Computer Science, Sacred Heart College, Tirupattur, India.
2Ravi Lourdusamy, Department of Computer Science, Sacred Heart College, Tirupattur, India,.
Manuscript received on 24 August 2019. | Revised Manuscript received on 03 September 2019. | Manuscript published on 30 September 2019. | PP: 3311-3315 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24460981119/2019©BEIESP | DOI: 10.35940/ijitee.K2446.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Semantic Web, Ontology, Learning Management System, Google Cloud
Scope of the Article: Evolutionary Computing and Intelligent Systems