Implementation of Research Information Curation Service Using Prescriptive Analytics

Among various fields at home and abroad, machine learning technology is developing rapidly, centering on deep learning. Active research is being conducted. However, due to the lack of sufficient machine learning data, opportunities such as providing high value-added content and improving service performance are missed. New entity names are registered in various documents and interpreted as different entity names depending on the context. Through prescriptive analysis-based key entity name recognition technology that collects researcher's research field, research propensity, and research activity information and converts the value of data into new phrase-unit information into word-unit qualities by constructing and utilizing generalpurpose data, we provide a research information curation service based on prescriptive analysis to solve difficulties of securing learning data for researchers who want to apply machine learning and for obtaining customized research information that corresponds to individualized services for each researcher. KCI Citation Count: 0