• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.126-132
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• 2015

Technology forecasting is about understanding a status of a specific technology in the future, based on the current data of the technology. It is useful when planning technology management strategies. These days, it is common for countries, companies, and researchers to establish R&D directions and strategies by utilizing experts' opinions. However, this qualitative method of technology forecasting is costly and time consuming since it requires to collect a variety of opinions and analysis from many experts. In order to deal with these limitations, quantitative method of technology forecasting is being studied to secure objective forecast result and help R&D decision making process. This paper suggests a methodology of technology forecasting based on quantitative analysis. The methodology consists of data collection, principal component analysis, and technology forecasting by logistic regression, which is one of the data mining techniques. In this research, patent documents related to autonomous vehicle are collected. Then, the texts from patent documents are extracted by text mining technique to construct an appropriate form for analysis. After principal component analysis, logistic regression is performed by using principal component score. On the basis of this result, it is possible to analyze R&D development situation and technology forecasting.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.249-265
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• 2023

Recently, the satellite industry has been paying attention to the private-led 'New Space' paradigm, which is a departure from the traditional government-led industry. The space industry, which is considered to be the next food industry, is still receiving relatively little attention in Korea compared to the global market. Therefore, the purpose of this study is to explore future signals that can help determine the market entry strategies of private companies in the domestic satellite industry. To this end, this study utilizes the theoretical background of future signal theory and the Keyword Portfolio Map method to analyze keyword potential in patent document data based on keyword growth rate and keyword occurrence frequency. In addition, news data was collected to categorize future signals into first symptom and early information, respectively. This is utilized as an interpretive indicator of how the keywords reveal their actual potential outside of patent documents. This study describes the process of data collection and analysis to explore future signals and traces the evolution of each keyword in the collected documents from a weak signal to a strong signal by specifically visualizing how it can be used through the visualization of keyword maps. The process of this research can contribute to the methodological contribution and expansion of the scope of existing research on future signals, and the results can contribute to the establishment of new industry planning and research directions in the satellite industry.

• Proceedings of the Technology Innovation Conference
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• 2009.02a
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• pp.333-353
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• 2009

본 연구에서는 기술표준원이 (주)코리아데이터네트워크에 의뢰하여 작성된 설문조사결과를 활용하여 기업의 표준화활동 결정요인을 분석하였다. 표준화활동을 유형(혹은 범주)에 따라 기업의 전사적 표준경영, 국내표준화활동, 국제표준화활동, 인증획득 등으로 구분하였고, 그 결정요인으로 기술혁신활동(R&D와 특허출원), 기업규모, 수출, 네트워크, 기업조직특성, 산업별 특성 등을 고려하였다. 분석된 표본은 제조업에 속한 636개 기업으로 정성적 분석방법인 로지스틱 회귀모형 (logistic regression)을 사용하였다. 분석결과, 첫째 기술혁신활동 변수 중 R&D집약도는 국제표준화활동을 제외하고 표준화활동에 영향을 미치지 않는 것으로 나타났다. 둘째, 특허출원은 전사적 차원에서의 표준경영과 인증획득활동에 대해 정 (+)의 유의한 효과를 보여 주었다. 셋째, 소기업과 대기업보다는 중간규모의 기업에서 전사적 차원에서의 표준경영과 인증획득활동이 활발하다는 역U자 가설이 성립하는 것으로 분석되었다. 넷째, 표준화에 대한 경영진의 관심은 모든 표준화활동의 유형에 대해서 중요한 결정요인으로 나타났다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.345-346
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• 2011

XML4IP는 현재 세계지적재산권기구(WIPO)가 특허, 디자인, 상표 정보를 교환하는데 상호운영성을 지향하기 위해 개발하고 있는 표준이다. XML4IP는 단순히 지재권 데이터를 처리하고 교환하는 것 뿐만 아니라 현존하고 있는 각각의 지재권 정보 표준을 대체하는 것을 목적으로 하고 있다. 이에 XML4IP의 현재까지 진행된 표준 내용 및 각국 특허청의 논의내용을 분석하였고, 세계 각국이 지향하는 지재권 정보 처리 방안에 대한 의견을 종합하였다.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.283-314
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• 2003

The transformation of sector system in Information and Communications Technology (ICT), a prominent character in sector system, has been paid much attention in innovation theory with rapid change in information technologies and technological environment. In this context, we explore how Sectoral Innovation System (SIS) in ICT has been transformed since 1970 by employing US patent data and Proxy variables which measures the basic elements for SIS and its technological characteristics. By utilizing patent data, it is demonstrated that technological regimes, key links and Schumpeterian patterns of innovation in overall ICT sector have drastically transformed over the last three decades. We also reviewed how changes of knowledge bases and technological characteristics driving forces of dynamics in ICT help heterogeneous agents interact with environmental factors (Industrial structure and institutions), leading to industrial or economic growth and its dynamics in the historical perspective over ICT sector (Telecommunication, Computer and Semiconductor). Consequently, our research shows clearly that Schumpeterian patterns of innovation have shifted from Mark I to Mark II in ICT. Our study also provides a glimpse picture of dynamics patent data.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.750-751
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• 2019

최근 4차 산업 혁명시대에 이르러 다양한 기술이 급속도로 발전함에 따라 지적 재산권 확보가 중요하게 되었다. 따라서 대표적인 지식재산권의 하나인 특허의 발명 또한 급증하고 있다. 본 논문에서는 특허 데이터에 포함된 기술명 식별을 위해 딥러닝 기반 기술명 분류 방법을 제안한다. 그 결과 특정 분야에서 사용되는 전문 용어에 대한 개체명 식별이 가능함을 보인다.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.1-9
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• 2020

This study draws implications by surveying and analyzing performance evaluation cases in Korea and overseas, and analyzes qualitative and quantitative performance evaluation indexes and evaluation models that fit the national R & D performance evaluation system through analysis of patent creation performance data or company status data. Also, in order to apply this to a specific group of companies with excellent exports and technical skills, we will conduct a case study on the performance analysis of patent strategy support projects based on the results of the survey. Although this study has some limitations in developing performance evaluation indicators due to the limited scope of business or business characteristics of the patent strategy support project, the qualitative evaluation system can be reviewed through previous studies and domestic and overseas case studies. Due to the problem of accessing and collecting data related to the performance of the support project, there is a limitation that performance analysis cannot be performed at a sufficient level. Nevertheless, after the completion of R&D support projects and patent strategy support projects, follow-up performance analysis can be performed through follow-up surveys. It is expected to be possible.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3677-3688
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• 2011

The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.510-531
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• 2008

The importance of universities' knowledge to industrial innovation have widely pervaded the academia as well as policy communities. During the last three decades, a series of policy measures vitalizing the knowledge-transfer activities of academics have been implemented both in industrialized and industrializing countries. However, The concerns on the industry's influences on the academia have been raised by a group of researchers such as 'Economics of science'. Against this background, this paper addresses the issues related to the relationship between the academic research and knowledge-transfer activities. Particularly, based on the 16 years' panel data of Korean academics' patent and paper outputs, the effect of patenting activities on publishing activities is investigated. Moreover, the specific context of Korean academic system as well as general characteristics of academics are considered in the analysis and discussion. According to the results, not just the publishing and patenting outputs but their productivities have been dramatically increased during the last 16 years. The main finding is that the patenting activities have a consistent positive effect on the publishing activities of the academics in the estimations of panel models. Based on these results and the discussions, some policy recommendations for university-industry collaboration are suggested.

• Korean Journal of Construction Engineering and Management
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• v.18 no.5
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• pp.20-31
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• 2017

As global interests in the 4th Industrial Revolution have recently increased, it becomes critical for the construction industry to pro-actively cope with it. For effective actions, the construction industry needs to make active use of 4th Industrial Revolution technologies based on the up-to-date understanding of the trends of construction technology development employing the 4th Industrial Revolution technologies. The objective of the study is to investigate and identify key trends of ICT construction technology development over the last ten years based on Big Data Analytics. The study identifies eleven key trends and discusses that ICT construction technology development has not been as active as expected and software technologies have been less developed compared to hardware technologies.