An Analysis Model of R&D Project's Similarity
Jong-Bae Kim, Hyo-jung Sohn, Min-Gyu Lee, Baek-Min Seong, Yu-Jin Jo · International Journal of u- and e- Service Science and Technology · 2014
For the government, it is very important to analyze the similarity between various R&D projects, as it can contribute to reducing waste in government budgets and enhancing the investment efficacy of R&D investment. Thus far, there have been studies that attempted to analyze the similarity between two different documents by focusing on the keywords that represent the content of the document, or by using the similarities between sentences, with a view to identifying overlapping R&D projects. However, for various reasons these studies failed to achieve a desirable level of accuracy. In this regard, our purpose in this study is to suggest a means to analyze the similarity between R&D projects using the patent analysis DB from the government’s patent technology trend survey program, which examines and collects information on patents related to past R&D projects. To realize this goal, we suggested a similarity assessment model based on set theory and probability theory.