Abstract :
Explosively increased Big Data and very fast technical evolutions require an entirely new analytics that is able to precisely analyze researchers´ activities until now and to provide research directions from now on. Prescriptive analytics shows fundamental difference with descriptive/predictive analytics in that it should provide multiple strategies to achieve a given research direction. Complex event processing also shows a new way to read implicit intentions from many kinds of activities such as publishing article, travelling on business, and attending conference. Thus, this talk shows a case study by explaining requirements and factors for implementing a personalized research service with InSciTe Advisory, as a data-intensive intelligent service, for helping to find plausible research directions. This talk also covers data gathering, information extraction from entities to simple events, reasoning, and Hadoop ecosystem.
Keywords :
Big Data; data handling; inference mechanisms; parallel processing; research and development; Big Data; Hadoop ecosystem; InSciTe Advisory; complex event processing; data gathering; data-intensive intelligent service; descriptive analytics; implicit intentions; information extraction; personalized research service; predictive analytics; prescriptive analytics; reasoning system; research directions; researcher activity analysis;