부상기술 예측을 위한 특허키워드정보분석에 관한 연구 - GHG 기술 중심으로

• Published in: (사)디지털산업정보학회 논문지, 9(2) Vol. 9; no. 2; pp. 139 - 149
• Main Authors: 최도한, 김갑조, 박상성, 장동식, Choe, Do Han, Kim, Gab Jo, Park, Sang Sung, Jang, Dong Sik
• Format: Journal Article
• Language: Korean
• Published: (사)디지털산업정보학회 01.06.2013
• Subjects: 컴퓨터학; Open API; REST; Ontology Learning; API Discovery; Mashup; SOAP
• ISSN: 1738-6667; 2713-9018

As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.