• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.289-294
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• 2013

Due to sudden transition to intellectual society corresponding with fast technology progress, companies and nations need to focus on development and guarantee of intellectual property. The possession of intellectual property has been the important factor of competition power. In this paper we developed the efficient patent search process with big data analysis tool R. This patent search process consists of 5 steps. We result that at first this process obtain the core patent search key words and search the target patents through search formula using the combination of above patent search key words.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.77-84
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• 2016

In general statistical analysis, we need to make a normal assumption. If this assumption is not satisfied, we cannot expect a good result of statistical data analysis. Most of statistical methods processing the outlier and noise also need to the assumption. But the assumption is not satisfied in big data because of its large volume and heterogeneity. So we propose a methodology based on box-plot and data smoothing for controling outlier and noise in big data analysis. The proposed methodology is not dependent upon the normal assumption. In addition, we select patent documents as target domain of big data because patent big data analysis is a important issue in management of technology. We analyze patent documents using big data learning methods for technology analysis. The collected patent data from patent databases on the world are preprocessed and analyzed by text mining and statistics. But the most researches about patent big data analysis did not consider the outlier and noise problem. This problem decreases the accuracy of prediction and increases the variance of parameter estimation. In this paper, we check the existence of the outlier and noise in patent big data. To know whether the outlier is or not in the patent big data, we use box-plot and smoothing visualization. We use the patent documents related to three dimensional printing technology to illustrate how the proposed methodology can be used for finding the existence of noise in the searched patent big data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.121-137
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• 2013

Now days, firm's technology capability is recognized as important factor to forecast and to evaluate firm's business performance. There are many efforts to develop useful indicators by applying patent information that includes concrete description about technology. Many previous studies analyzed relationship between patent indicators and firm's performance. But they didn't consider time gap between a point of firm's invention activity and a point of firm's performance improvement. They didn't considered a character of industrial fields either. To overcome these limitations, we selected IT industry for target analysis industry. Time-series patent data and financial data from 41 American IT firms between 2000 and 2011 were used to analyze. In this study, We empirically analyzed subsequent effect of patent indicators on firm's business performance by using correlation analysis and regression analysis.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.9-16
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• 2018

In this paper, we propose wide range of categorizes Artificial Intelligence technology as Learning, Inference, and Cognitive. Also, it analyzes 758 cases of open patents. For an analysis, target technologies were selected and categorized into specific areas to collect information about the patents. After removing noise, the patent information for each technology such as patent assignees and IPC code, was analyzed to evaluate the maturity of technology, the way ahead for research and development and the trends in core technology. This research presents directions of Artificial intelligence technology research and trend analysis of core Artificial Intelligent technology using quantitative analysis of patent information. Also Artificial intelligence technology requires technological development necessity through close cooperation in diverse fields.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.134-143
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• 2024

We investigated and analyzed the technological landscape of the global pet food industry, focusing on related industries in Korea and abroad. This industry accounts for the largest share of the rapidly growing global pet market. We aimed to identify and develop technologies that can strengthen Korea's position in this market. Our study employed various quantitative methods, including time series analysis, country and applicant analysis, and International Patent Classification (IPC) technology analysis. These analyses allowed us to objectively assess the current technological status, patent application distribution, and technological trends in the pet food industry. Our findings revealed that the United States currently holds the leading position in terms of patent applications within the pet food industry. This suggests that to establish a differentiated competitive edge in this field, it's crucial to develop technologies with high usability and target specific segments within related industries. Additionally, focusing on interdisciplinary research that combines Korea's existing advanced technologies with other relevant fields is essential.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1868-1875
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• 2016

This paper presents the mega trends of technology and competitiveness analysis results based on patent analysis for establishing effective research and development (R&D) strategy on UAV (Unmanned Aerial Vehicle) in the aerial ICT industry. In order to analyze mega trends of UAV technologies, patent analysis is conducted focusing on published/registered patents of Korea, the U.S., Japan, and Europe. We divided the target technologies into 3 main category levels based on the converging technology of UAV and ICT. The 3,433 patents are collected. Patent indicators such as patent activity (PA), cites per patent (CPP), and major market expansion (MME) are extracted for grasping the technology competitiveness and Korea's competitiveness per sub category levels of UAV. We suggest the R&D strategy of each technology areas based on patent analysis results. We analyzed Korea's technology levels, advanced companies' R&D trends, and patent trends through patent information and expected that this paper would be utilized for establishment of R&D strategy of UAV in the future.

• Journal of Arbitration Studies
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• v.22 no.1
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• pp.111-130
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• 2012

Judgment on the validity of patents on the subject of an arbitration does not. In other words, the occurrence of patents generated by the administrative action, and such administrative action by an authorized agency may be treated as legitimate until it is canceled. However, recent Supreme Court judgment on novelty and inventive step as well as judgments about the validity of the patent also made possible by the judiciary. This progress even in the mediation of an arbitral award which is premised on the validity of patents can be seen that possible. However, if the arbitration by an arbitrator if possible a certain portion of the limit exists. In other words, the effect of arbitration between the parties is valid. This patent is valid and invalid in arbitration even if the judgment relative to the effect ceases. In addition, the arbitration award and patent invalidation trial is in progress at the same time, if you consequently will reach a different conclusion. This can cause problems of double track. In addition, by extending the critical target recognition and enforcement in other countries can cause problems. Despite these problems, now about the validity of patents that it is possible intervention is necessary to discuss again.

• Journal of KIISE:Software and Applications
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• v.34 no.2
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• pp.95-103
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• 2007

This paper describes an English-to-Korean automatic translation system for patent documents which is constructed by a method customizing from a general domain to a specific domain. The customizing method consists of following steps: 1) linguistically studying about characteristics of patent documents, 2) extracting unknown words from large patent documents and terminologically constructing, 3) customizing the target language words of existing terms, 4) extracting and constructing patent translation patterns peculiar to patent documents, 5) customizing existing translation engine modules according to linguistic study about characteristics of patent documents, 6) evaluation of automatic translation results. The English-to-Korean patent machine translation system implemented by these customization steps shows a translation accuracy of 81.03% and is improving.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.39-53
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• 2023

Recently, the market competition has been fiercer due to the acceleration of technological change and the launch of intelligent products. In this situation, technology cooperation activities through networks rather than independent technological innovation activities of a single company or institution are recognized as a crucial strategy to gain competitiveness. Technology cooperation can take various forms depending on the target technology, and researchers have conducted performance analyses of technology cooperation types. However, there have not been data-based quantitative studies on the types and trends of technology cooperation for the target technology. In this paper, we explored the difference between the technology cooperation types by technology and time using the formal concept analysis method and co-patent information. In particular, the proposed methodology has been verified through the case study of electric vehicles, and it is intended to suggest the direction of technological cooperation according to specific technologies and cooperation targets in the future

• Korean Journal of Agricultural Science
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• v.45 no.1
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• pp.114-119
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• 2018

This study analyzed the trends of patents for unmanned technology used in agriculture. The target countries for this survey of patent data were Korea, the USA and Japan as well as the countries in Europe. The indices used in this study to analyze the patents were the CPP (Cites Per Patent), PII (Patent Impact Index), and PFS (Patent Family Size). The total effective patents for unmanned technology used in agriculture were 1,080 cases. The number of patents in the USA, Japan, Europe, and Korea were 541, 326, 128 and 85 cases, respectively. Among the total effective patents, the evaluation scores for selected important patents were calculated by applying commonly used weights to each index, and the top 10 patents were selected as important patents. The results showed that all the top ten patents are owned by the United States and that the United States is an advanced country in the field of unmanned technology used in agriculture. The evaluation score of the important patents using the existing method was biased toward the PII index among the three patent evaluation standards, and the effects of the number of claims and the PFS were relatively small. Therefore, a reliable patent analysis in the field of unmanned technology used in agriculture needs to reflect the overall evaluation factors taking into consideration the scope of the evaluation factors.