• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.340-361
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• 2019

This study analyzes the technological structure of artificial intelligence (AI) and technological capabilities of AI companies based on patent information. 2589 AI patents registered in USPTO from 2007 to 2017 were collected and analyzed by the Latent Dirichlet Allocation (LDA) to derive 20 AI technology topics. Analysis of technology development trends by AI technology reveals that visual understanding, data analysis, motion control, and machine learning are growing, while language understanding and speech technology are sluggish. In addition, we also investigated leading companies in each sub-field of AI as well as core competencies of global IT companies. The findings of this study are expected to be fruitfully used for formulation and implementation of technology strategy of AI companies.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.63-81
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• 2021

The advent of the convergence era led to the convergence of industries while increasing the uncertainty of R&D. R&D uncertainty can be addressed by identifying and addressing industrial innovation patterns, which Neo-Schumpeterian suggested can be identified through the process of identifying the technical characteristics of a particular industry, which can be embodied in the concept of technology trajectory. Thus, this study considered and proposed a method to track the technology trajectory of the convergence industry through topic modeling and patent citation network analysis, and applied it to the micro medical robot industry, which is a representative convergence industry, to track the technology trajectory of active catheter. In particular, it is intended to identify the unique characteristics of the industry by identifying the industry before the promotion of the national-led medical robot industry support policy. Therefore, we tried to understand the innovation pattern of the industry by tracking the technology trajectory of the industry before 2017, the time of full-scale support for the medical robot industry in the United States. Through tracking technology trajectories, the role of each technology classification, the development path, and the knowledge flow between applicants were analyzed empirically. The results of this study are expected to contribute to resolving the remaining uncertainties in the process of establishing an active catheter R&D strategy, one of the leading convergence industries, and furthermore, it is expected to be available for tracking technology trajectories in other industries.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.353-354
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• 2012

이차전지의 응용영역이 소형시장 중심에서 향후 대형 시장으로 확대될 것으로 예상되며, 한국, 일본, 중국, 미국 등을 중심으로 시장이 형성될 전망이다. 본 연구에서는 이차전지의 특허 정보를 이용하여 현재 우리나라의 기술적 위치를 파악하고 IPC 정보를 이용하여, 기술 분야 간 관계를 규명하여 향후 이차전지 분야에서의 기술 개발 방향에 대해 제시하고자 하였다. 그 결과 한국은 현재 이차전지 시장에서 기술적으로 비교적 우위를 점하고 있지만, 전기 자동차 등 중대형 이차전지 분야에 대한 기술 개발이 상대적으로 미흡하여 이에 대한 많은 연구가 필요하다고 판단된다.

• 대한공업교육학회지
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• v.39 no.2
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• pp.1-18
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• 2014

This study took existing invention intellectual property related textbooks being utilized in secondary vocational education, analyzed the formation status of 'key learning elements' reflection ratio and drew optimum key learning elements formation ratio by invention intellectual property education content required in secondary vocational education in the future. For this, the study task was set up as 'what kind and how much of invention intellectual property key learning elements are in the invention intellectual property textbook education content now and what is the desirable ratio of each key learning elements in the future'. To resolve this task, 3 specialists analyzed the invention intellectual property education content reflection status and optimum reflection ratio by invention intellectual property education content required in the future is suggested by Delphi survey. The results of this study are as following. First, the result of analysis on invention intellectual property key learning elements included in the invention patent recognition books being utilized in secondary vocational education was that the books included all key learning elements; however, some textbooks have the trend of concentrating in D area (problem-solving activities). Second, the result of analysis on the reflection ratio by invention intellectual property education content area in the invention patent recognition books being utilized in secondary vocational education was that there was the trend in most textbooks that they concentrate in intellectual property creation area; while some textbooks deal with intellectual property protection area and intellectual property utilization area. Regarding by achievement type, knowledge area was main in all textbooks. Meanwhile, function area is dealt in invention patent basic, invention and problem-solving and design textbooks. Attitude area is not dealt or is dealt insufficiently in most textbooks. Third, the optimum reflection ratio of invention intellectual property education key learning elements required in secondary vocational education in the future as obtained by specialists' delphi survey was that it is necessary to decrease D (problem-solving activities) 17.7% area, E(invention fusion knowledge) 2.9% area, K(patent application) 6.9% and L(patent information investigation) area 9.6%. Regarding the optimum reflection ratio of invention intellectual property education content, it is suggested that the invention literacy area 3.1%, intellectual property creation area 4.5% and intellectual property protection area 10.6% would be decreased; while intellectual property utilization area 17.7% would be increased. Regarding optimum reflection ratio of achievement type, it is suggested that knowledge area 52% would be decreased; while function area 32.3% and attitude area 19.6% would be increased.

• Journal of KIISE:Software and Applications
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• v.35 no.7
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• pp.431-441
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• 2008

The academic information analysis service is including automatic recommendation of reviewers and analysis of researchers' accomplishments. The service of recommendation of reviewers should be processed in a transparent, fair and accountable way. When selecting reviewers, the following information must be considered: subject of project, reviewer's maj or, expertness of reviewer, relationship between applicant and reviewer. The analysis service of researchers' accomplishments is providing statistic information of researcher, institution and location based on accomplishments including book, article, patent, report and work of art. In order to support these services, we designed ontology for academic information, converted legacy data to RDF triples, expanded knowledge appropriate to services using OntoFrame. OntoFrame is service framework which includes ontology, reasoning engine, triple store. In our study, we propose the design methodology of ontology and service system for academic information based on OntoFrame. And then we explain the components of service system, processing steps of automatic recommendation of reviewers and analysis of researchers' accomplishments.

• Information Systems Review
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• v.26 no.2
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• pp.155-167
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• 2024

This study recognized the importance of joint research in the field of artificial intelligence and analyzed the characteristics of the industry-academic-research technological cooperation ecosystem focusing on patents from the perspective of the Techno-Economic Segment (TES). To this end, economic entities such as companies, universities, and research institutes within the ecosystem were identified for 7,062 joint research projects out of 113,289 artificial intelligence patents over the past 10 years filed in IP5 countries since 2012. Next, this study identified the topics of technological cooperation and the characteristics of cooperation. As a result of the analysis, technological cooperation is increasing, and the frequency of all types of cooperation was high in industry-to-industry (40%) and industry-to-university (25.2%) relationships. Here, this study confirmed that the role of universities is being strengthened, with an increase in the ratio of companies with strengths in funding and analytical data, industry and universities with excellent research personnel (9.8%), and cooperation between universities (1.9%). In addition, as a result of identifying collaborative patent research areas of interest and collaborative relationships through topic modeling and network analysis, overall similar research interests were derived regardless of the type of cooperation, and applications such as autonomous driving, edge computing, cloud, marketing, and consumer behavior analysis were derived. It was confirmed that the scope of research was expanding, collaborating entities were becoming more diverse, and a large-scale network including Chinese-centered universities was emerging.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.2
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• pp.99-111
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• 2021

The connected farm that agricultural land, agricultural machinery and farmer are connected with an IoT gateway is in the commercialization stage. That has increased productivity, efficiency and profitability by intimate information exchange among those. In order to develop the educational program of intelligent agricultural machinery and the agricultural machinery safety education performance indicator, this study analyzed patent trends of agricultural machine with unmanned technology used in agriculture and efficiency technology applied advanced technologies such as ICT, robots and artificial intelligence. We investigated and analyzed patent trends in agricultural machinery of Korea, the USA and Japan as well as the countries in Europe. The United States is an advanced country in the field of unmanned technology and efficiency technology used in agriculture. Agricultural automation technology in Korea is insufficient compared to developed countries, which means rapid technological development is needed. In the sub-fields of field automation technology, path generation and following technology and working machine control technology through environmental awareness have activated.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.107-115
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• 2013

Various networks can be observed in the world. Knowledge networks which are closely related with technology and research are especially important because these networks help us understand how knowledge is produced. Therefore, many studies regarding knowledge networks have been conducted. The assortativity coefficient represents the tendency of connections between nodes having a similar property as figures. The relevant characteristics of the assortativity coefficient help us understand how corresponding technologies have evolved in the keyword-based patent network which is considered to be a knowledge network. The relationships of keywords in a knowledge network where a node is depicted as a keyword show the structure of the technology development process. In this paper, we suggest two hypotheses basedon the previous research indicating that there exist core nodes in the keyword network and we conduct assortativity analysis to verify the hypotheses. First, the patents network based on the keyword represents disassortativity over time. Through our assortativity analysis, it is confirmed that the knowledge network shows disassortativity as the network evolves. Second, as the keyword-based patents network becomes disassortavie, clustering coefficients become lower. As the result of this hypothesis, weconfirm the clustering coefficient also becomes lower as the assortative coefficient of the network gets lower. Another interesting result concerning the second hypothesis is that, when the knowledge network is disassorativie, the tendency of decreasing of the clustering coefficient is much higher than when the network is assortative.

• 대한공업교육학회지
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• v.40 no.1
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• pp.1-22
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• 2015

The purpose of this study was to select and organize educational contents needed to achieve systematic education of Invention intellectual property in secondary vocational education and ultimately to provide basic data for development of national-level curriculum. For this, the study, based on literature research, selected and organized educational contents of Invention intellectual property and learning elements in secondary vocational education, which served as the first draft. Then, the study verified its validity through experts' meeting and prepared its final draft. The experts' meeting comprized three teachers engaged in education of Invention intellectual property, two researchers (including a professor) and one person in charge of intellectual property. This study had following findings. First, the first draft of selection and organization of educational contents of Invention intellectual property in secondary vocational education as per the literature research suggested nine subject and 39 educational contents. The result of validity analysis for the suggested first draft turned out to be generally valid at 4.4 on average. Opinions modified and added by the experts' meeting were 30 in total with 5 altered, 20 modified and 5 added. Second, the result of validity analysis of learning elements in educational contents by the subject turned out to be generally valid. Average validity by the subject was revealed as Basics of invention 4.4, General invention/patent 4.5, Invention & problem solving 4.3, General intellectual property 4.5, Invention & design 4.6, Particulars of patents 4.4, Patent drawings 4.5, Patent & own business 4.5. Third, the final draft of educational contents of Invention intellectual property in secondary vocational education selected and organized eight subjects and 40 educational contents. The finally-suggested subjects included Basics of invention, General invention/patent, Invention & problem solving, General intellectual property, Invention & design, Particulars of patents, Patent information, Patent & own business.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.115-151
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• 2010

Recently Korean universities show very rapid increases in both patents and R&D (research and development) expenditures. During the period from 1970 to 2008, university R&D spending has on the average increased 15.3% annually. Along with steady increases in R&D spending, university's research outputs have also continuously increased. In 1990 Korea as a total published 1,613 SCI-level scientific papers and Korean universities applied 27 patents to Korea patent office. In 2008, Korea published more that 35,000 SCI papers and Korean universities applied about 7,300 patents. The growth of scientific articles had begun from the early 1990s whereas the growth of patent has ignited entering the 2000s. The paper tried to investigate university research through the window of patent. Patents lie between invention and innovation and represent the potential value of invention which will be realized at the marketplace. Since Korean patents do not contain citation information, the paper used US patents-NBER patent database-as the main data. The key empirical question is whether Korean university patents granted from USPTO are characteristically different from other Korean patents granted from USPTO. Previous studies on US and Europe show that corporate patents are more stylized in appropriablity of invention, whereas university patents basicness. In case of Korea, the paper confirmed the appropriability characteristic of corporate patents; but the Korean unversity patents are not distinguishable in terms of basicness. The paper estimated the citation frequency function-an empirical model which was firstly developed by Caballero and Jaffe (1993) and later articulated by Jaffe and Trajtenberg (1996, 2002). The model is specified mainly composed of two interacting parts-diffusion effect and obsolescence effect of new ideas or innovations. Estimation results show that differences in forward citations between university and corporate patents are not statistically significant, after controlling self-citation. Since forward citations represent the quality of patents, this estimation result implies that there are no statistically significant quality differences between university and corporate patents. Prior research results, based on the same model of citation frequency function, about US and some European cases show that, in terms of forward citations, university patents are generally superior to corporate patents -for the case of US- or, the former not inferior to the latter-for the case of most of Europe. It is argued that some important and significant policy changes caused the rapid rise of university patents in Korea. Policy changes include the revision of technology transfer act allowing the ownership of publicly-funded research results to researchers and the changes in faculty/professor evaluation which gives more credit to the number of patents. These policy changes have triggered the rapid growth of the number of university patents. The results of the empirical analysis in this paper indicated that Korea now needs to make further efforts to enhance the quality of university patents, not just to produce more numbers of patents.