DocumentCode :
1878751
Title :
InSciTe advisory: Prescriptive analytics service for enhancing research performance
Author :
Hanmin Jung ; Young-guk Ha
Author_Institution :
Dept. of Comput. Intell. Res., Korea Inst. of Sci. & Technol. Inf., Daejeon, South Korea
fYear :
2015
fDate :
28-31 Jan. 2015
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; inference mechanisms; parallel processing; Big Data; Hadoop ecosystem; InSciTe advisory; complex event processing; data gathering; data-intensive intelligent service; information extraction; prescriptive analytics service; reasoning; Big data; Computer science; Computers; Educational institutions; Human computer interaction; Natural language processing; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge and Smart Technology (KST), 2015 7th International Conference on
Conference_Location :
Chonburi
Print_ISBN :
978-1-4799-6048-4
Type :
conf
DOI :
10.1109/KST.2015.7051448
Filename :
7051448
Link To Document :
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