• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.443-452
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• 2018

With the explosively increasing intellectual property rights, securing technological competitiveness of companies is more and more important. In particular, since patents include core technologies and element technologies, patent analysis researches are actively conducted to measure the technological value of companies. Various patent analysis studies have been conducted by the International Patent Classification(IPC), which does not include the latest technical classification, and the technical classification accuracy is low. In order to overcome this problem, the Cooperative Patent Classification(CPC), which includes the latest technology classification and detailed technical classification, has been developed. In this paper, we propose a model to analyze the classification of the technologies included in the patent by using the detailed classification system of CPC. It is possible to analyze the inventor's patents in consideration of the relation, importance, and efficiency between the detailed classification schemes of the CPCs to extract the core technology fields and to analyze the details more accurately than the existing IPC-based methods. Also, we perform the comparative evaluation with the existing IPC based patent analysis method and confirm that the proposed model shows better performance in analyzing the inventor's core technology classification.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.470-476
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• 2015

Big data has been used in diverse areas. For example, in computer science and sociology, there is a difference in their issues to approach big data, but they have same usage to analyze big data and imply the analysis result. So the meaningful analysis and implication of big data are needed in most areas. Statistics and machine learning provide various methods for big data analysis. In this paper, we study a process for big data analysis, and propose an efficient methodology of entire process from collecting big data to implying the result of big data analysis. In addition, patent documents have the characteristics of big data, we propose an approach to apply big data analysis to patent data, and imply the result of patent big data to build R&D strategy. To illustrate how to use our proposed methodology for real problem, we perform a case study using applied and registered patent documents retrieved from the patent databases in the world.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.109-115
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• 2020

In this paper, we propose an artificial intelligence(AI) technology analysis using partial least square(PLS) regression model. AI technology is now affecting most areas of our society. So, it is necessary to understand this technology. To analyze the AI technology, we collect the patent documents related to AI from the patent databases in the world. We extract AI technology keywords from the patent documents by text mining techniques. In addition, we analyze the AI keyword data by PLS regression model. This regression model is based on the technique of partial least squares used in the advanced analyses such as bioinformatics, social science, and engineering. To show the performance of our proposed method, we make experiments using AI patent documents, and we illustrate how our research can be applied to real problems. This paper is applicable not only to AI technology but also to other technological fields. This also contributes to understanding other various technologies by PLS regression analysis.

• Journal of Information Management
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• v.43 no.2
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• pp.169-197
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• 2012

Patents are an up-to-date and reliable source of technological knowledge, and thus patent analysis has been considered to be a necessary step for identifying evolving technological trends and planning technology strategies. Although there exist many research papers and technical reports concerning patent analysis, few empirical studies on planning technology strategies for uncertain futures from a national or company perspective have been rarely conducted. Therefore, this paper aims presenting a procedure and its practical case of planning future technology strategies by incorporating patent analysis and scenario planning. Using patents related to polymer electrolyte membrane fuel cells, this paper developed technology strategies corresponding to future scenarios. We expect that the proposed method and case study can assist knowledge services of experts in the long-term technology strategy planning process.

• Journal of Society of Preventive Korean Medicine
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• v.22 no.1
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• pp.81-90
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• 2018

Objectives : The aim of this study is to analyze the patent trend in Traditional Korean Tea. In this paper, we investigate the diversity of Korean Tea registered as patents focusing on the kinds of medicinal herbs used, processing methods, and types of tea. Methods : We collected patents data using KIPRIS, and WIPS database. We conducted Quantitative Analysis by year and main patentee, and Qualitative Analysis by patent's contents. Results : 313 patents are selected from 2001 to May 2017. The number of patents have been on the rise and reached 44 in 2014. Individuals have registered the most patents, followed by companies, Industry-University Cooperation Foundation, and local autonomous entities. Ginger, Omija and Cactus were used at high frequency among 109 tea containing one medicinal herb. Licorice and Jujube were frequently used among 204 tea containing more than two kinds of medicinal herbs. In classification of patent by efficacy, 'health promotion and function recovery' and 'treatment and prevention of diseases' are most frequently specified. 128 patents are presenting processing methods for medicinal herbs in the order of roasting, fermentation, and fumigation. Among 164 patents presenting tea types, liquid type accounts for more than half and there are 67 leached tea, and 32 powder tea. Conclusion : The analyses results showed that lots of new recipes, efficacy, processing methods and tea types are being studied and registered as patents. In order to help Traditional Korean Tea industry to develop, active patent registration and further study about up-to-date patent trend would be required.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.117-126
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• 2007

The purpose of this paper is to analyze the trends of technological development in the field of portable multimedia player (PMP) through patent information of major countries, and evaluate the technological Position of PMP. In the first place, we will carry out a quantitative analysis in terms of the annual trend of patent applications in the field of PMP, the technological position of PMP through portfolio analysis, the share of patents by applicant, the worldwide innovation leader of major countries, and the patent trend by IPC. Secondly, we will measure the technological level of PMP using indicators including cites per patent (CPP), science linkage (SL), and patent family size (PFS). Finally, we will evaluate the directions of research or technology development and the technological competitiveness of major countries. This evaluation could give us some useful policy implications on the strategy of R&D in PMP.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.125-132
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• 2009

The paradigm of economy has been transformed into knowledge based economic paradigm in 21th century. Analysis of patent trend is one of the strategic methods for increasing their patent competitive power. However, this method is just presenting statistical data about patent trend or qualitative analysis about some core technology. In this paper, we forecast technology diffusion using patent information for more progressive analysis. We make an experiment with bass model and logistic model and make use of patent data about information-security technology for NCW as input data. We conclude that the logistic model is more efficient for forecasting and this technology is approaching to the age of technology maturity.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.406-411
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• 2013

Big data issue has been considered in diverse fields. Also, big data learning has been required in all areas such as engineering and social science. Statistics and machine learning algorithms are representative tools for big data learning. In this paper, we study learning tools for big data and propose an efficient methodology for big data learning via legacy data to practical application. We apply our big data learning to patent analysis, because patent is one of big data. Also, we use patent analysis result for technology forecasting. To illustrate how the proposed methodology could be applied in real domain, we will retrieve patents related to big data from patent databases in the world. Using searched patent data, we perform a case study by text mining preprocessing and multiple linear regression of statistics.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.209-213
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• 2021

For the human body shape information, body measurement techniques using a tape measure or image analysis are used. However, there is a demand for a method with high measurement accuracy and reproducibility while being simple. In this paper, domestic and foreign patent research related to body size measurement technology was conducted to identify the development trend of the related technology. WISDOMAIN DB was used to search for patents published in Korea, the United States, Japan, and Europe, and valid patents were derived by defining the technical scope of major and medium classifications and sub-categories. For the derived patents, patent trends by year, major applicants by country, and the status of technological fields were analyzed. In the field of body size measurement technology, the proportion of patent applications filed in Korea is high, indicating that Korea is leading the patent application in this field. Although the number of patent applications in the field of sensor-type measurement technology was not large, it has an advantage in measurement simplicity, so the development of related technology is expected to contribute to the improvement of measurement accuracy related to body composition analysis.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.433-437
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• 2010

Patent contains meaningful technical achievement. There are many cases explaining technology trends from the analysis of frequency of term. Term sometimes has different meaning on fields. In this paper, words from patent titles of US, Japan, Korea PCT and EPO are collected by the 5 categories of WIPO. Frequency changes rate of each word were calculated and high ranked words of 5 categories were analyzed to find relationship between patent and technology development as well as technology trends.