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)
In this paper, we present a system which makes scientific data available following the linked open data principle using standards like RDF und URI as well as the popular D2R server (D2R) and the customizable D2RQ mapping language. Our scientific data sets include acronym data and expansions, as well as researcher data such as author name, affiliation,(More)
This paper proposes a procedure that easily extracts a feature that helps differentiate between similar researcher names in articles. We examined email patterns and their timelines to identify researchers. Our statistical analysis results show multiple email address usage patterns are found in the case of approximately 43% researchers, and 5% of the(More)