With recent developments in science and technology, numerous researchers around the world are producing a variety of science- and technology-related documents such as research papers and patents in order to share and further develop their respective research. In particular, the spread of social network services is allowing researchers in science and technology to share and develop their latest technologies at a fast rate. In the era of Big Data, there are increasing needs for a system that can infer analytical information about the research activities of such researchers, but no system that satisfies the requirements exists at the moment. Therefore, this study proposes a sematic complex event processing model for reasoning. The study then details an architecture in which such analytics is processed on a real-time basis in a distributed environment. With this architecture, researchers can easily monitor their individual research activities in an up to date manner and use such analytical data as a basis to set their future research directions.
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