Functional semantic complex event processing model for Massive Open Online Courses

Big data technologies are becoming widely used, not only for recording but also for analyzing human generated data. Indeed, the recent development in systems and technologies provided many areas with data processing technologies to extract meaningful information from massive amounts of data. A good example of areas where the generated data is voluminous is eLearning, e.g. Massive Open Online Courses (Moocs). One of the main challenges in Moocs is the real-time processing of this data, coming from diversified sources, with respect to semantics. In this regard, this paper investigates the use of Semantic Complex Event processing in the analysis of the data generated through Moocs.