Do-Heon Jeong

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Business intelligence is a critical in defining the strategy and roadmap of organizations. However, business intelligence covers too much wide coverage to consider all of fields such as data analytics, text mining, predictive analytics, and so on. Among these fields, the most important is information analysis and prediction. Therefore, we suggest a business(More)
We introduce a prescriptive analytics system, InSciTe advisory, to provide researchers with advice of their future research direction and strategy. The system analyzes several thousands of heterogeneous types of data sources such as papers, patents, reports, Web news, Web magazines, and collective intelligence data. It consists of two main parts of(More)
The importance of research on knowledge management is growing due to recent issues on Big Data. One of the most fundamental steps in knowledge management is the extraction of terminologies. Terms are often expressed in various forms and the variations often play a negative role, becoming an obstacle which causes knowledge systems to extract unnecessary(More)
This paper describes InSciTe Adaptive, which is a technology intelligence service developed by KISTI. InSciTe Adaptive supports not only technology analyzing and forecasting based on diverse types of information such as paper, patents, reports, ads, web resources and so on but also user adaptive and guiding service by intelligent recognition of user(More)
Analysis, prediction, and recommendation of information about experts are very important tasks for future research planning and strategy establishment. However, it takes much time and efforts even for precise analysis of experts because we need to analyze huge and diverse heterogeneous information. There are several application and tools for supporting(More)
User intention modeling is a core part to provide appropriate services in ubiquitous and pervasive computing. And the modeling should be concentrated on preparing user activities according to objects which user approaches or touches. In other works, they just contribute to constructing the modeling under restricted conditions such as places. In order to(More)
User intention modeling is a key component for providing appropriate services within ubiquitous and pervasive computing environments. Intention modeling should be concentrated on inferring user activities based on the objects a user approaches or touches. In order to support this kind of modeling, we propose the creation of object–activity pairs based on(More)