• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.180-183
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• 2001

최근 정보통신을 비롯한 다양한 분야에서 새로운 기술과 아이디어를 이용한 기술개발이 활발하게 이루어짐에 따라 창의적 연구결과에 따른 특허 출원도 급격히 증가하고 있다. 본 논문에서는 사용자의 특허검색 과정에서 특허와 관련된 기술문서를 동시에 검색이 용이하도록 지원하는 방식을 개발하는 것을 목적으로 한다. 특허 및 기술점보 연계 시스템은 신규 특허 문서에 대한 분류를 위해 주제별 주요용어를 추출하고 특허 문서와 유사한 기술 문서를 코사인 유사도 기법을 사용하여 유사도에 따라 기술 문서를 사용자에게 제공할 수 있도록 설계하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.382-390
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• 2019

As there is severe competition in the global foldable display market, strategic technology planning is required. Patent analysis as a tool for technology planning has frequently been used due to data characteristics such as openness, formality, and detailed information. However, traditional patent analysis has various limitations such as quantitative approaches are limited in evaluating contents of patents and identifying core technologies of firms as they rely on number of patents, and qualitative approaches have time and cost problems as researchers have to investigate each patent on a case-by-case basis. In this research, we analyze core technologies of firms in the foldable display sector analyzing patent co-classification Network. Results show that the number of patent applications has rapidly increased since 2014, and 92% of these patents are held by two panel manufacturers, SDC and LGD, and two device manufacturers, SEC and LGE. Network analysis shows that the two panel manufacturers' core technologies are similar and two device manufacturers are notably different. This research provides implications to the sector. Moreover, this study provides unique results drawn from co-classification network analysis, and therefore, our research suggests patent co-classification analysis as an effective tool for technology planning.

• 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 the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1049-1054
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• 2018

Keyword searching used in the past as a method of finding similar patents, and automated classification by machine learning is using in recently. Keyword searching is a method of analyzing data that is formalized through data refinement. While the accuracy for short text is high, long one consisted of several words like as document that is not able to analyze the meaning contained in sentences. In semantic analysis level, the method of automatic classification is used to classify sentences composed of several words by unstructured data analysis. There was an attempt to find similar documents by combining the two methods. However, it have a problem in the algorithm w the methods of analysis are different ways to use simultaneous unstructured data and regular data. In this paper, we study the method of extracting keywords implied in the document and using the LDA(Latent Semantic Analysis) method to classify documents efficiently without human intervention and finding similar patents.

• The Microorganisms and Industry
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• v.20 no.3
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• pp.49-59
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• 1994

효소관련 각종 특허를 국가별, 산업적 응용면, 또는 효소기술상으로 분류하여 통계적으로 분석을 해 봄으로써 여러가지 현상을 발견 내지 추론해 볼 수 있다. 첫째, 연도별, 국가별 출원현황 및 경향을 알 수 있으며 둘째, 이러한 특허출원들이 산업적으로 어떤 분야에 적용 내지 적용가능한 지를 파악할 수 있고 셋째, 기술적으로도 어누 부문에 치중 내지 편중되어 출원이 이루어지고 있는 지를 알 수 있다. 그리고 보다 중요한 것은 이러한 여러 측면을 동시에 고찰해 봄으로써 효소특허출원 경향에 관한 통찰력의 배양을 통해 연구자가 연구개발의 흐름을 파악해 볼 수 있다는 것이다.

• ICROS
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• v.20 no.1
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• pp.24-27
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• 2014

본 논문은 최근 6년간 시행된 국내 외 기술수준조사(Technology level evaluation) 및 기술수준평가(Technology level assessment)의 동향을 정리한 것이다. 국내의 기술수준조사는 기술수준의 평가를 위해 기존의 기술분류 체계를 사용하거나, 평가 대상기술의 특성에 따라 새로운 분류체계를 작성하였다. 기술수준의 평가는 델파이(Delphi) 설문과 정량적인 특허 및 논문 분석 등이 동시에 수행되었다. 국외의 기술수준평가는 주로 특허, 논문, 연구원 수 등의 정량적인 평가를 중심으로 수행되었으며, 제한적으로 설문, 토론회 등의 정성적인 평가가 함께 수행되었다.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.219-225
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• 2015

Nowadays, technologies are changing through industrial fusion and government & corporates need to predict the flow & direction of technologies. These flow & direction can be grasped through the analysis of patent information. The patent information uses the common classification codes in the world, and it is possible for the quantitative analysis based on objective data with the time information of technical area. The methods of patent analysis analyzed the technology fusion by using citation analysis & simultaneous classification analysis. This research analyzed patent information which used as an index to measure the technical innovation in the society based on knowledge, and would like to analyze technical trends and to describe the way of improvement in the future based on the aviation industry which is the representative fusion/complex industry.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.185-192
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• 2019

Polymer materials are used in a wide variety of fields such as automobiles, aerospace, energy, IT, and as well as simple household products. Despite high interest in the technological convergence of polymer materials for the sustaining progress, there have been only limited analyzes on the topic. This research attempted to analyze the types of convergence and the level of technology in the polymer materials field. For this purpose, we collected patent information from the PCT database and implemented a co-classification analysis. The research shows that Japan and Korea have more section-level convergence whilst US and Europe focus on field-level convergence. In terms of the quality measured by patent activity, patent competitiveness, and patent effect, Korean convergence technologies seem to be inferior to those of other countries.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.77-88
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• 2017

Recently, with the advent of knowledge based society where information and knowledge make values, patents which are the representative form of intellectual property have become important, and the number of the patents follows growing trends. Thus, it needs to classify the patents depending on the technological topic of the invention appropriately in order to use a vast amount of the patent information effectively. IPC (International Patent Classification) is widely used for this situation. Researches about IPC automatic classification have been studied using data mining and machine learning algorithms to improve current IPC classification task which categorizes patent documents by hand. However, most of the previous researches have focused on applying various existing machine learning methods to the patent documents rather than considering on the characteristics of the data or the structure of patent documents. In this paper, therefore, we propose to use two structural fields, technical field and background, considered as having impacts on the patent classification, where the two field are selected by applying of the characteristics of patent documents and the role of the structural fields. We also construct multi-label classification model to reflect what a patent document could have multiple IPCs. Furthermore, we propose a method to classify patent documents at the IPC subclass level comprised of 630 categories so that we investigate the possibility of applying the IPC multi-label classification model into the real field. The effect of structural fields of patent documents are examined using 564,793 registered patents in Korea, and 87.2% precision is obtained in the case of using title, abstract, claims, technical field and background. From this sequence, we verify that the technical field and background have an important role in improving the precision of IPC multi-label classification in IPC subclass level.

• Journal of Technology Innovation
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• v.26 no.3
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• pp.1-36
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• 2018

In the era of the 4th Industrial Revolution, it is important for companies to understand the changing environment by converging various technologies and to respond to the changing business environment. In this study, we conducted a social network analysis on 10 firms in the automotive industry, which have recently been accelerating their competition for technology development, by extracting convergence patents co-classified in two or more of the US registered patents in the last 6 years. As a result, it has been confirmed that the number of technology related to the convergence of the automotive field is greatly increasing, and the convergence between the technologies is becoming stronger. In addition, Volkswagen, Ford and Hyundai showed significant changes in technology convergence. They were analyzed as having a change in strategy in eco-friendly automotive technologies. This study suggests various ways for companies to utilize the results of network analysis more meaningfully.