• Biomedical Science Letters
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• v.17 no.2
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• pp.95-104
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• 2011

The development of a general appreciation for the central role of angiogenesis in cancer growth and metastasis and other disease status has led to a wide range of new therapeutic strategies. This paper reviews the domestic and international trends through technology, marketing and patent information analysis dealing with anti-angiogenic agents. This analytical research has led to the identification of new targets associated with angiogenesis, leading to the development of an extensive number of preclinical screening of antiangiogenetic agents.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.175-176
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• 2020

As the concrete pouring work relies on manual work, there is a lot of room for automated equipment development. In this study, as a basic study on the development of an automated system for pouring concrete, the trend of patent applications by year, country and detailed technology was investigated. Related technologies were classified into screed automation, CPB automation, and concrete pouring integrated system to analyze patent application trends. As a result, since 1999, patent applications have been steadily in progress, repeating increases and decreases in Japan, Korea, the United States, and Europe. In addition, the growth stage of the market is in the early stages of maturity, and patent applications for related technologies are expected to continue. In the future, based on the patent application trend analyzed in this study, the development direction of the automated concrete pouring system will be reviewed and the redundancy of similar technologies will be reviewed.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.441-445
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• 2020

토큰화(Tokenization)는 사람이 작성한 자연어 문장을 기계가 잘 이해할 수 있도록 최소 단위인 토큰으로 분리하는 작업을 말하여, 이러한 토큰화는 자연어처리 전반적인 태스크들의 전처리에 필수적으로 사용되고 있다. 최근 자연어처리 분야에서 높은 성능을 보이며, 다양한 딥러닝 모델에 많이 활용되고 있는 SentencePiece 토큰화는 여러 단어에서 공통적으로 출현하는 부분단어들을 기준으로, BPE 알고리즘을 이용하여 문장을 압축 표현하는 토큰화 방법이다. 본 논문에서는 한국어 기반 특허 문헌의 초록 자연어 데이터를 기반으로 SentencePiece를 비롯한 여러 토큰화 방법에 대하여 소개하며, 해당 방법을 응용한 기계번역 (Neural Machine Translation) 태스크를 수행하고, 토큰화 방법별 비교 평가를 통해 특허 분야 자연어 데이터에 최적화된 토큰화 방법을 제안한다. 그리고 본 논문에서 제안한 방법을 사용하여 특허 초록 한-영 기계번역 태스크에서 성능이 향상됨을 보였다.

• Knowledge Management Research
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• v.14 no.1
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• pp.39-55
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• 2013

As the importance of intellectual property rights for the 21st century challenge became prominent, many companies have been trying to secure many rights competitively. In particular, application numbers of patent that represents technology has been increased continuously. Korean companies were not exception; mainly in large companies, there have been continued the efforts to grow the number of patent applications in quantitative volume. But the issues that how viable patents the companies have, how effectively the companies manage, and how economically usable the patents are, are totally different from quantitative management level. As such, the issue is connected to how to assess the patent management level of companies. On the other side of quantitative growth of patent that companies hold, there are some problems such as the difficulties to determine if the patents hold substantial values, and the difficulties to determine whether the patent are managed effectively. In addition, as the numbers of patent application and registration of companies are increased, the cost for patent holding and managing increase. It is required to pay continuous attention to the cost of patent management because patent registration fee has a property that increases rapidly with time and burden for patentee become heavier. As a result of analysis and interpretation, we confirmed that quantitative management, particularly the number of patent applicant does not make positive impact on how to use patent after application. Rather, it is observed that the economical usage is influenced positively by the efforts of patent applicants such as considering for the time of patent examination, paying attention to receive patent registration decision. Therefore, this study shows that efforts patent applicants provide in management level after application time are important to maintain the value of patents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1458-1467
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• 2010

Recently, imitation and infringement rights of an intellectual property are being recognized as impediments to nation's industrial growth. To prevent the huge loss which comes from theses impediments, many researchers are studying protection and efficient management of an intellectual property in various ways. Especially, the prediction of patent registration is very important part to protect and assert intellectual property rights. In this study, we propose the patent document analysis method by using text mining to predict whether the patent is registered or rejected. In the first instance, the proposed method builds the database by using the word frequencies of the rejected patent documents. And comparing the builded database with another patent documents draws the similarity value between each patent document and the database. In this study, we used k-means which is partitioning clustering algorithm to select criteria value of patent rejection. In result, we found conclusion that some patent which similar to rejected patent have strong possibility of rejection. We used U.S.A patent documents about bluetooth technology, solar battery technology and display technology for experiment data.

• Asian Journal of Innovation and Policy
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• v.1 no.1
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• pp.50-70
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• 2012

This paper analyzes the factors that determine technology innovation in Korean manufacturing firms, focusing on the role of intra-firm knowledge diffusion and market strategy in patent production. For empirical analysis, zero-inflated negative binomial (ZINB) regression is applied to the 2009 Human Capital Corporate Panel data. The empirical findings confirm the critical role of intra-firm knowledge-sharing processes in technology innovation; firms with a market-leading strategy oriented to new product development also tend to be prolific in patent production.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.143-149
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• 2022

Since patent documents contain detailed results of research and development technologies, many studies on various patent analysis methods for effective technology analysis have been conducted. In particular, research on quantitative patent analysis by statistics and machine learning algorithms has been actively conducted recently. The most used patent data in quantitative patent analysis is technology keywords. Most of the existing methods for analyzing the keyword data were models based on the Gaussian probability distribution with random variable on real space from negative infinity to positive infinity. In this paper, we propose a model using gamma probability distribution to analyze the frequency data of patent keywords that can theoretically have values from zero to positive infinity. In addition, in order to determine the regression equation of the gamma-based regression model, two-mode network is constructed to visualize the technological association between keywords. Practical patent data is collected and analyzed for performance evaluation between the proposed method and the existing Gaussian-based analysis models.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.283-295
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• 2022

The number of citations in a patent is one of the indicators of the qualitative value of a patent. In this study, negative binomial regression model analysis was performed focusing on 47,354 US patents of 14 global top automotive makers in order to examine the major factors affecting the number of patent citations. As a result of the review, it was found that, elapsed years since filing, the number of patent claims, the number of claim letters, the number of inventors, the number of patent family countries, and the number of patent families, as well as IPC diversity, had a positive and significant effect on the number of citations. The results of this study are expected to provide a basic basis for considering the IPC diversity index together in analyzing and evaluating future patents and establishing strategies for creating excellent patents.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.17-30
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• 2015

Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.

• Journal of Legislation Research
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• no.44
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• pp.571-610
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• 2013

The current patent system is more often used for defensive purposes to exclude others' use or as a means to hold unfair strong positions in negotiations rather than for the original purpose as the dissemination and active use of useful technology. An injunction together with a damage is an important remedy for patent infringements. However, unlike a claim for damages, injunctions do not require the subjective requirement of intent and negligence or the occurrence of loss. If the validity of the patent and the fact of infringement are confirmed, automatically injunctions are issued without consideration of other circumstances. So a patent holder would exclude others' use and have a powerful position in negotiations because of injunctions for patent infringements. Therefore, those injunctions for patent infringements should be flexibly restricted according to cases under the premise to ensure fair compensation for the patent owner, rather than absolutely admitting injunctions for patent infringements like now. If then, it would serve the use of a useful technology and industrial development as the purpose of the patent system. First of all, judgments for preliminary injunctions should be strict and by deliberate decision on the merits permanent injunctions should be determined. In addition, it is needed that court's discretion possible to considerate 'the need for an injunction'. When the courts judge 'the need for an injunction', 'whether a patent holder has implemented a patent invention, the possibility of monetary compensation and the ability of the infringer for damages, a patent holder's intent to license and whether an injunction has been used as a weapon of negotiation, the proportion of patent technology in the entire products, the characteristics of patent technology and the possibility of patent invalidity, the competitive relationship for market share, the public interests and gains and losses between the parties and so on' should be considered. After these judgements, if 'the need for an injunction' is not approved, a patent owner would be protected by post-monetary compensation. However, because damages are related to illegal conducts in the past, in the case that an injunction is restrained, measures to ensure the legal implementation in the future are needed. It is primarily desirable that reasonable royalty is estimated throughout private negotiations between parties, but if agreement between the parties does not occur, patent owner should be able to claim the royalty for future.