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Patent Keyword Analysis for Forecasting Emerging Technology : GHG Technology  

Choe, Do Han (고려대학교 산업경영공학과)
Kim, Gab Jo (고려대학교 산업경영공학과)
Park, Sang Sung (고려대학교 기술경영전문대학원)
Jang, Dong Sik (고려대학교 산업경영공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.9, no.2, 2013 , pp. 139-149 More about this Journal
Abstract
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.
Keywords
Open API; Mashup; Ontology Learning; API Discovery; SOAP; REST;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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