Ontology-Based Smart System to Automate Higher Education Activities

The need for smart e-learning environments is resulting in new challenges researchers and practitioners to develop intelligent systems that can be used automate the Higher Education (HE) activities an way. Some common examples of such are “analyzing, finding, ranking right resource teach a course,” “analyzing finding people with research interests start joint projects,” “using data analytics machine reasoning techniques conducting exams different levels complexities.” Ontological play important role analyzing automating these HE processes. In this paper, we present framework named as Activities Processes Automation Framework (HEAPAF). HEAPAF identify, extract, process, produce semantically enriched understandable format from educational resources. We also Ontology (HEO) designed developed accommodate then perform analysis on it. As proof concept, case study topic, resources which dramatically improve learning patterns students growing environment. Finally, provide evaluation our evidence its competency consistency improving academic processes by using reasoning.