Jongchan Kim

A Novel Methodology for Extracting Core Technology and Patents by IP Mining

Abstract Society has been developed through analogue, digital, and smart era. Every technology is going through consistent changes and rapid developments. In this competitive society, R&D strategy establishment is sig-nificantly useful and helpful for improving technology competitiveness. A patent document includes technical and legal rights information such as title, abstract, description, claim, and patent classification code. From the paetn dtocumen,t a ol otf peopel can undersatnd and coellc ltega land techncia lniformaoitn. Thsi unqiue feature of patent can be quantitatively applied for technology analysis. This research paper proposes a meth-odology for extracting core technology and patents based on quantitative methods. Statistical analysis and so-cai nlewtork anaylssi are appeild ot IPC codes ni order to exrtac tcore technoolgies whti acvite R&D and high centralities. Then, core patents are also extracted by analyzing citation and family information.Key Words : Patent analysis, IPC Code, Social Network Analysis, Patent Citation, Patent FamilyReceived: Mar. 22, 2015Revised : Apr. 5, 2015Accepted: Jun. 1, 2015

Noise Removal Using TF-IDF Criterion for Extracting Patent Keyword

These days, governments and enterprises are analyzing trends in technology as a part of their investment strategy and R&D planning. Qualitative methods by experts are mainly used in technology trend analyses. However, such methods are inefficient in terms of cost and time for large amounts of data. In this study, we quantitatively analyzed patent data using text mining with TF-IDF used as weights. Keywords and noises were also classified using TF-IDF weighting. In addition, we propose new criteria for removing noises more effectively, and visualize the resulting keywords derived from patent data using social network analysis (SNA).

Time Series Analysis of Patent Keywords for Forecasting Emerging Technology

Forecasting of emerging technology plays important roles in business strategy and R&D investment. There are various ways for technology forecasting including patent analysis. Qualitative analysis methods through experts’ evaluations and opinions have been mainly used for technology forecasting using patents. However qualitative methods do not assure objectivity of analysis results and requires high cost and long time. To make up for the weaknesses, we are able to analyze patent data quantitatively and statistically by using text mining technique. In this paper, we suggest a new method of technology forecasting using text mining and ARIMA analysis.

Technology Strategy based on Patent analysis

Abstract By occasion of propagation of 3D TV, technology of glassless 3D display is increasingly important. Currently, there was no lead technology In this technology. Thus it is important to develop differentiated technology for secure competitiveness. In this paper, We analyze patents for R&D strategy about glassless 3D display. Through Company-Technology matrix analysis and Patent trend analysis, We extract promising technology field and core technology. Lastly We suggest R&D strategy by using patent road map. Key Words : 3D display, Patent analysis, Company-Technology matrix, R&D, Technology management strategy본 논문은 BK21 플러스 사업(고려대학교, 제조·물류분야에서의 빅 데이터 운용 사업팀)으로 지원된 연구임.본 논문은 2015년 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임.(한국연구재단-NRF-2015R1D1A1A01059742)This is Work was supported by the BK21 Plus (Big Data in Manufacturing and Logistics Systems, Korea University), This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01059742)