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)
The term similarities are utilized for measuring relatedness which is useful for semantic information processing such as content understanding, query expansion and word sense disambiguation. In our research, term similarities are used for grasping technical terms deeply related to emerging technologies. To measure term similarities, we propose a hybrid(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)
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)