• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.251-257
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• 2018

As the use of big data is necessary for increasing business value, the size of the big data market is getting bigger. Accordingly, it is important to apply competitive patents in order to gain the big data market. In this study, we conducted the patent analysis based keyword network to analyze the trend of big data patents. The analysis procedure consists of big data collection and preprocessing, network construction, and network analysis. The results of the study are as follows. Most of big data patents are related to data processing and analysis, and the keywords with high degree centrality and between centrality are "analysis", "process", "information", "data", "prediction", "server", "service", and "construction". we expect that the results of this study will offer useful information in applying big data patent.

• Electronics and Telecommunications Trends
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• v.29 no.2
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• pp.33-41
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• 2014

본고에서는 한국을 비롯하여 미국, 일본, 유럽의 최근 빅데이터 특허시장을 분석하였다. 분석결과 빅데이터 특허시장은 미국이 세계시장을 독과점하는 구조로 나타났다. 전 세계적으로 가장 활발한 특허 활동을 전개하고 있는 미국 특허를 대상으로 빅데이터 연구개발 트렌드를 조망해 보면 과거에는 다수 기업들에 의하여 많은 특허출원이 이루어지는 경향을 보였으나, 최근 들어 기존 기업들 간의 경쟁이 심화되면서 대기업 위주로 특허출원시장이 재편되어 가는 경향을 보이고 있다. 한편 과거에는 데이터 분석 및 처리기술에 많은 특허출원이 이루어졌으나 최근에는 데이터 운영 및 관리기술로 옮겨가는 것으로 조사되었으며, 특허출원 건수도 과거에 비하여 대폭 증가하고 있는 경향을 보이고 있다. 우리나라의 경우 실시간 처리기술, 저장기술, 표현기술은 상대적으로 높은 출원 점유율을 보이고 있으나, 데이터 수집 및 분석기술은 상대적으로 점유율이 낮게 나타나 관련 기술 강화를 위한 대책 마련이 시급한 것으로 조사되었다. 정부는 이를 위하여 데이터 사이언티스트 양성을 위한 정책적 지원을 확대할 필요가 있다.

• 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 Convergence on Culture Technology
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• v.7 no.2
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• pp.351-357
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• 2021

At the time when interest in the use of big data is rising in the face of the technological paradigm shift of the 4th industrial revolution, interest in the use of patented big data is increasing, especially as the proportion of intangible assets of companies increases. In addition to quantitative information, patent data contains various information such as unstructured text such as title, abstract, claim, citation and citation relations, drawings, and technology classification. It is judged that the use of treatment is important. Therefore, in this study, in order to systematically operate the innovative patent strategy framework and to secure a competitive advantage by strengthening the fundamental technological competitiveness of the company, we propose a method of using patent big data centering on the case of Company A, and verify its validity. I would like to suggest some implications. Through this, it is intended to raise awareness of the use of patent big data, and to suggest ways to use patent big data in connection with the company's company-wide strategy, business strategy, and functional strategy.

• 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 Digital Convergence
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• v.12 no.9
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• pp.169-175
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• 2014

The ICT (information and communication technology) paradigm shift, including the burgeoning use of mobile, SNS, and smart devices, has resulted in an explosion of data along with lifestyle changes. We have thus arrived at the age of big data. In the meantime, a number of difficulties have arisen in terms of cost or on the technical side with respect to the use of large quantities of data. However, big data has begun to receive attention with the advent of efficient big data technologies such as Hadoop. In this paper, we discuss the patent analysis of big data platform technology research and development in major countries. Especially, we analyzed 2,568 patent applications and registered patents in four countries on December 2010.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.542-543
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• 2024

특허심사절차는 짧지 않은 과정으로 이루어져 있는데, 현재 모든 절차가 사람이 직접 관여하여 진행되고 있다. 특허심사절차의 효율적 시간 분배를 위해, 특허문서 분류 과정의 자동화 처리 필요성을 느끼게 되었다. 따라서, 본 논문에서는 해당 분류기 생성을 위한 데이터의 전처리 과정을 다루었다.

• The Magazine of the IEIE
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• v.41 no.9
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• pp.64-72
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• 2014

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.387-391
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• 2013

디지털 기술의 발달로 세계가 정보 및 지식이 주도하는 사회로 급변하고, 지식 재산권의 발전이 급속하게 진행되면서, 각 기업 및 국가들은 그들의 경쟁력을 키우기 위해 지식재산권에 대한 중요성을 강조하고 있다. 이와 같이 지식재산권의 중요성이 강조되는 현실에서 지식재산권의 확보는 기업의 경쟁력을 좌우하는 요소라 할 수 있다. 따라서 본 논문에서는 빅데이터 분석 도구인 R을 이용하여 빠른 시간 안에 사용자가 목적으로 하고 있는 특허검색 결과를 효율적으로 도출할 수 있는 검색어 추출에 관한 연구를 진행하였다. 이를 위해 다섯 단계의 특허 검색 프로세스를 제안하였고 프로그램으로 구현하여 검색목적에 맞는 특허의 검색에 필요한 시간을 대폭 단축시키면서 목표로 하는 특허 검색을 효율적으로 할 수 있었다.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.529-535
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• 2018

Data is explosively growing, but many companies are still using data analysis only for descriptive analysis or diagnostic analysis, and not appropriately for predictive analysis or enterprise technology strategy analysis. In this study, we analyze the structured & unstructured patent data such as IPC code, inventor, filing date and so on by using big data analysis techniques such as network analysis and TF-IDF. Through this analysis, we propose analysis process to understand the core technology and technology distribution of competitors and prove it through data analysis.