• International Journal of Knowledge Content Development & Technology
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• v.2 no.1
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• pp.51-65
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• 2012

While science and technology information service portals and heterogeneous databases produced in Korea and other countries are integrated, methods of connecting the unique classification systems applied to each database have been studied. Results of technologists' research, such as, journal articles, patent specifications, and research reports, are organically related to each other. In this case, if the most basic and meaningful classification systems are not connected, it is difficult to achieve interoperability of the information and thus not easy to implement meaningful science technology information services through information convergence. This study aims to address the aforementioned issue by analyzing mapping systems between classification systems in order to design a structure to connect a variety of classification systems used in the academic information database of the Korea Institute of Science and Technology Information, which provides science and technology information portal service. This study also aims to design a mapping system for the classification systems to be applied to actual science and technology information services and information management systems.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.85-93
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• 2019

Despite its matchless position in the global semiconductor industry, Korea has not distinguished itself in the semiconductor equipment sector. Semiconductor cleaning equipment is one of the semiconductor fabrication equipment, and it is expected to be more important along with the advancement of semiconductor fabrication processes. This study attempts to analyze technology competitiveness of major countries in the sector including Korea, and explore specialty sub-areas of the countries. For this purpose, we collected patents of semiconductor cleaning equipment during the last 10 years from the US patent database, and implemented quantitative patent analysis and co-classification network analysis. The result shows that, the US and Japan have been leading the technological progress in this sector, and Korea's competitiveness has lagged behind not only the leading countries but also its competitors and even latecomers. Therefore, intensive R&D and developing technological capabilities are needed for advancing the country's competitiveness in the sector.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.1-14
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• 2023

As markets and industries continue to evolve rapidly, technology opportunity discovery (TOD) has become critical to a firm's survival. From a common consensus that TOD based on a firm's capabilities is a valuable method for small and medium-sized enterprises (SMEs) and reduces the risk of failure in technology development, studies for TOD based on a firm's capabilities have been actively conducted. However, previous studies mainly focused on a firm's technological capabilities and rarely on business capabilities. Since discovered technologies can create market value when utilized in a firm's business, a firm's current business capabilities should be considered in discovering technology opportunities. In this context, this study proposes a TOD method that considers both a firm's business and technological capabilities. To this end, this study uses patent data, which represents the firm's technological capabilities, and trademark data, which represents the firm's business capabilities. The proposed method comprises four steps: 1) Constructing firm technology and business capability matrices using patent classification codes and trademark similarity group codes; 2) Transforming the capability matrices to preference matrices using the fuzzy function; 3) Identifying a target firm's candidate technology opportunities using the collaborative filtering algorithm; 4) Recommending technology opportunities using a portfolio map constructed based on technology similarity and applicability indices. A case study is conducted on a security firm to determine the validity of the proposed method. The proposed method can assist SMEs that face resource constraints in identifying technology opportunities. Further, it can be used by firms that do not possess patents since the proposed method uncovers technology opportunities based on business capabilities.

• Knowledge Management Research
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• v.21 no.4
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• pp.195-210
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• 2020

Recently, the value of intellectual property rights including patents has been estimated for various purposes. In particular, the evaluation of loans, guarantees and collateral through patent valuation is increasing with the revitalization of technology financing. Although various studies have been conducted on patent valuation, little research has been done on the adequacy of patent valuation. In this study, using the DCF model, which is the most commonly used method of technology valuation, we examine the appropriateness of the patent valuation by comparing and analyzing the estimated value and actual value of the patent. An empirical result shows that the difference between estimated value and the actual value is statistically significant, and there is a significant difference between the estimated value and the actual value depending on the classification of evaluation work. In addition, while there is no difference between professors, patent attorneys, and researchers in the analysis of value differences according to technical evaluators, there is a significant difference between patent attorneys and other evaluators. Finally, we find a significant value difference between estimated value and actual value of technology subject to evaluation by industry.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.6
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• pp.161-180
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• 2017

As the competition for securing cross-border biological sovereignty becomes intensified due to the adoption of the Nagoya Protocol, this study analyzed patent trends only for freshwater plants in order to secure national biological sovereignty. As a result, freshwater plants include a total of 68 genera and 128 species, and a total of 60 genera and 3,256 patents were surveyed. Among them, iris was the most industrialized, 14.71% followed by angelica(8.48%) and Mentha(6.94%). However, unconfirmed eight genera (Aneilema, Artemisia Cabomba, Nymphoides, Pistia stratiotes L., Pseudoraphis Griff., Ruppia) are not patented freshwater plants and it is expected that patent entry is high and barrier is low in the future. Based on patent results, Cooperative Patent Classification analysis was carried out and as a result, a total of 15 industry sectors were derived. And biopharmaceutical(30.24%) was found to be the most industrialized industry sector followed by agricultural chemistry (28.89%), biochemical industry (16.25%). In the biomedical industry, angelica(17.74%) was the most used and Iris (9.55%), Sium(20.56%) and angelica (20.48%) were found to be the most used in agricultural chemistry, biochemical industry and bio food industry, respectively. The analysis of detailed industry fields for 15 industry sectors showed that medicines of unknown structure containing substances from plants (37.77%), raw materials (46.57%) such as insect repellants, attracting agents and preparation of peptides(16.82%) with more than 21 amino acids were most frequently used in biopharmaceutical, agricultural chemistry and biochemical industry, respectively. This study is of significance as a basic data to know which freshwater plants are used in which field in order to secure biological sovereignty and patent analysis is considered necessary to continuously secure the biological sovereignty for freshwater plants.

• Journal of Information Management
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• v.37 no.2
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• pp.93-107
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• 2006

There are some questions about the way to monitoring the regional innovative activities in a specific field because of decision-making for raising regional specialized industry. Numerous studies have been conducted in the past using patent statistics to explain and compare the innovative capabilities of districts, regions and countries. The prior method of calculating the regional distribution of patent counts is to assign the patents to districts by assignee's address, which was not proper, in the case of larger firms's headquarters, holdings or subsidiaries, to mislead in geographical terms. So the regional distribution of patent was counted for a specific technology area, electric device field(H01 IPC classification), by inventors' residential addresses. Then the interregional structure was investigated by analysing the relations of co-inventors' regions by individual patent using a network analysis tool.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.266-272
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• 2016

In this study, we analysed the technology convergence of Internet of Things(IoT) by International Patent Classification(IPC) code analysis. 163 patent applications in Korea are the subjects of this study. We confirmed that the most representative IPC code combinations between Main and Sub categories are G06Q 50/24-G06Q 50/22(6 cases), H04L 29/02-H04L 12/28(4 cases), G06F 15/16-G06F 3/048(3 cases), G06F 15/16-G06F 9/44(3 cases), and G06Q 50/22-G06Q 50/24(3 cases). The field of Health Care business have been prepared 9 patent applications by technology convergence between 'Health Care(G06Q 50/22)' and 'Patient Record Management(G06Q 50/24)'. Finally we also concluded that the core IPC code are G06F 15/16, G06Q 50/22, G06Q 50/24, and H04L 12/28 by the technology convergence interconnections analysis of IoT patent applications.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.173-181
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• 2021

In previous research, large companies were analyzed to focus on their past management performance and patent rights, but in this study we looked at the variability in future sales of small and medium-sized enterprises with patents through empirical analysis. We looked at how the quantitative and qualitative value of patent rights affect management performance of company. We used 'the number of patents' as the quantitative value of patents, 'the average score of patents' as the qualitative value of patents, and the average sales growth rate as the management performance of company. Through a discriminant analysis using the statistical program SPSS, both independent variables used in this study were significant for distinguishing between companies with an average growth in sales more than twice that of general small and medium-sized enterprises and those with less than twice the average sales growth rate. Therefore it is meaningful to provide stakeholders with an analysis framework on how sales will change in the future using the results of this study during guarantee or loan screening for small and medium-sized enterprises with patent rights.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1642-1648
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• 2021

We analyzes representative technologies of IoT patents and reflects these results in the curriculum of IoT. In order to identify the representative technologies, the IPC codes of the patents were analyzed. Among the main category IPC codes, the most used IPC codes were H04L in Single IPC Patent with 974 cases(32.0%) and G06Q in Multiple IPC Patent with 710 cases(29.2%). As a result of classifying the IPC code into the WIPO technology classification system, the most emphasized technologies are Digital Communication, accounting for about 60.5% in the Single IPC Patent and IT Methods for Management(710 cases, 29.2%) in Multiple IPC Patent. The main points to be considered when organizing the curriculum of IoT are: ∇Emphasis on Digital Communication, ∇Expansion of Education related to IT Methods for Management(Including entrepreneurship and patent application), and ∇Consideration of subjects related to the Convergence of IoT. This research can contribute to the curriculum design of new industrial technologies such as AI and Fintech.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.66-83
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• 2022

Artificial Intelligence (AI) is to assumed to be one of next generation technology which determine technological competitiveness and strategic advantage of a certain country. By using the patent data, this study aims to have a comparative analysis of the technological competitiveness of evolving artificial intelligence at different stages of development among the five largest intellectual property offices in the world (IP5). For the analysis data, all AI technology patent data from 1956 to 2019 were utilized according to the classification system presented in the "WIPO 2019 Technology Trend: Artificial Intelligence" report published by the World Intellectual Property Organization (WIPO) in 2019. The results shows that China has already surpassed the United States in terms of the number of patent applications in the field of artificial intelligence technology. However, in the domains of the United States, Europe, Japan, and Korea, the technology competitiveness of the United States is far ahead of China. Interestingly, the rate of increase of Korea's technology competitiveness is also very fast, and it has been shown that the technology strength is ahead of China in non-Chinese domains. The significance of this study can be found in the fact that the temporal and spatial change process of technological competitiveness of significant countries in the field of artificial intelligence technology artificial intelligence was viewed as a macro-framework using the technology index (TS) the differences were compared.