• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.45-53
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• 2012

This study is about the impact of a technology-based start-ups' patent-related activities on early stage company performance. Technology-based start-ups are closely related to the intellectual property rights, particularly patents that they aim the pursuit of new products or production methods and pioneer the introduction of market based on innovative technology, and that is a key role in such companies established and operating, hence the research of patent-related activities in technology-based start-ups has important implications. In most previous studies, the impact of the company's patent related activities on the performance of corporate management is determined by using quantitative patent indicators. Therefore, through this study, causal relationships leading to business performance through the development of new products, which includes technology performance and product performance, and the patent-related activities including the company's patented technology support activities, creating the right activities, infringement response activities, base activities validated as follows. First, the patent-related activities have a positive impact on technological and products achievements. In other words, the various activities involved in the acquisition and utilization of the patent have a positive impact on the performance of company's new product development, particularly developing new technologies or patent acquisition rate. Second, the technology have a positive impact on the performance of the products, not on the business performance. However, the empirical results shows that it has indirectly impacts on business performance through the product performance. Third, product performance have a positive impact on business performance. In conclusion, patent-related activities affects the performance of the company's management, and the maintenance of the company's business performance depends on the developing and selling product based on the customers needs, besides the technology performance such as the patents and the development of technology.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.53-77
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• 2015

Korea has witnessed an increasing number of domestic patent applications, but a majority of them are not utilized to their maximum potential but end up becoming obsolete. According to the 2012 National Congress' Inspection of Administration, about 73% of patents possessed by universities and public-funded research institutions failed to lead to creating social values, but remain latent. One of the main problem of this issue is that patent creators such as individual researcher, university, or research institution lack abilities to commercialize their patents into viable businesses with those enterprises that are in need of them. Also, for enterprises side, it is hard to find the appropriate patents by searching keywords on all such occasions. This system proposes a patent recommendation system that can identify and recommend intellectual rights appropriate to users' interested fields among a rapidly accumulating number of patent assets in a more easy and efficient manner. The proposed system extracts core contents and technology sectors from the existing pool of patents, and combines it with secondary social knowledge, which derives from tags information created by users, in order to find the best patents recommended for users. That is to say, in an early stage where there is no accumulated tag information, the recommendation is done by utilizing content characteristics, which are identified through an analysis of key words contained in such parameters as 'Title of Invention' and 'Claim' among the various patent attributes. In order to do this, the suggested system extracts only nouns from patents and assigns a weight to each noun according to the importance of it in all patents by performing TF-IDF analysis. After that, it finds patents which have similar weights with preferred patents by a user. In this paper, this similarity is called a "Domain Similarity". Next, the suggested system extract technology sector's characteristics from patent document by analyzing the international technology classification code (International Patent Classification, IPC). Every patents have more than one IPC, and each user can attach more than one tag to the patents they like. Thus, each user has a set of IPC codes included in tagged patents. The suggested system manages this IPC set to analyze technology preference of each user and find the well-fitted patents for them. In order to do this, the suggeted system calcuates a 'Technology_Similarity' between a set of IPC codes and IPC codes contained in all other patents. After that, when the tag information of multiple users are accumulated, the system expands the recommendations in consideration of other users' social tag information relating to the patent that is tagged by a concerned user. The similarity between tag information of perferred 'patents by user and other patents are called a 'Social Simialrity' in this paper. Lastly, a 'Total Similarity' are calculated by adding these three differenent similarites and patents having the highest 'Total Similarity' are recommended to each user. The suggested system are applied to a total of 1,638 korean patents obtained from the Korea Industrial Property Rights Information Service (KIPRIS) run by the Korea Intellectual Property Office. However, since this original dataset does not include tag information, we create virtual tag information and utilized this to construct the semi-virtual dataset. The proposed recommendation algorithm was implemented with JAVA, a computer programming language, and a prototype graphic user interface was also designed for this study. As the proposed system did not have dependent variables and uses virtual data, it is impossible to verify the recommendation system with a statistical method. Therefore, the study uses a scenario test method to verify the operational feasibility and recommendation effectiveness of the system. The results of this study are expected to improve the possibility of matching promising patents with the best suitable businesses. It is assumed that users' experiential knowledge can be accumulated, managed, and utilized in the As-Is patent system, which currently only manages standardized patent information.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.43-65
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• 2017

UN 산하 국제해사기구(IMO)는 2020년 국제적인 시행을 목표로 e-내비게이션 분야의 국제기술표준 개발을 추진 중에 있다. e-내비게이션은 차세대 해양안전 종합관리시스템으로서 각종 해상 운항정보를 디지털화 해 선박 운항자에게 실시간 맞춤형 정보를 제공해 준다. 해수부는 2020년 이후 약 1,000조원의 시장이 열릴 것으로 내다보고 있으며, 진입 장벽이 높은 해양 장비 시장에 우리나라도 ICT 강점을 바탕으로 주도권을 잡기 위해 노력중이다. 이를 위하여 한국과 미국의 e-내비게이션 분야의 핵심기술 중심으로 기술분야별 특허동향, 기술시장 성장 단계, 국가간 기술경쟁력, 그리고 특허 Key Player별 보유 특허 포트폴리오, 피인용 분석을 통한 경쟁력, 특허 거래 및 소송 분석을 통하여 양 국가의 기술개발 동향을 파악하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3677-3688
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• 2011

The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.41-48
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• 2023

In this paper, we propose an analysis of recent trends in the NFT (Non-Fungible Token) industry using topic modeling techniques, focusing on their universal application across various industrial fields. For this study, patent data was utilized to understand industry trends. We collected data on 371 domestic and 454 international NFT-related patents registered in the patent information search service KIPRIS from 2017, when the first NFT standard was introduced, to October 2023. In the preprocessing stage, stopwords and lemmas were removed, and only noun words were extracted. For the analysis, the top 50 words by frequency were listed, and their corresponding TF-IDF values were examined to derive key keywords of the industry trends. Next, Using the LDA algorithm, we identified four major latent topics within the patent data, both domestically and internationally. We analyzed these topics and presented our findings on NFT industry trends, underpinned by real-world industry cases. While previous review presented trends from an academic perspective using paper data, this study is significant as it provides practical trend information based on data rooted in field practice. It is expected to be a useful reference for professionals in the NFT industry for understanding market conditions and generating new items.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.43 no.5
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• pp.299-304
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• 2017

Objectives: To test the feasibility of submandibular salivary gland (SMG) replantation techniques and the survival of the replanted glands. Such a study can provide a rationale for later allotransplantation procedures, along with implementation of conventional and advanced immunosuppression therapy. Materials and Methods: Six SMG replantations were performed in New Zealand white rabbits. One week postoperatively, $^{99m}Tc$ scintigraphy was performed and the uptake ratio and salivary excretion fraction were calculated. Two to four weeks later, submandibular glands were excised, fixed, and stained with H&E for histomorphometric evaluation. Results: Intraoperatively, all glands showed patent blood perfusion except gland 5. Positive tracer uptake and saliva excretion were documented by scintigraphy. On excision, all of the glands except glands 4 and 5 looked viable, with a red color and patent pedicles. Gland 4 was infected and filled with creamy pus, while gland 5 looked pale and necrotic. Histologically, glands 1, 2, 3, and 6 had preserved normal glandular tissue with slight variations from the contralateral normal glands, as their parenchyma was composed of mildly atrophic acini. Conclusion: Four out of six replanted SMGs successfully survived. The glands maintained good viability and function. Such success depends on safe harvesting, short anastomosis time, and strict control of infection.

• Knowledge Management Research
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• v.16 no.2
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• pp.113-137
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• 2015

Many scholars have addressed the technological convergence of small-medium sized firms in Korea and their impact on the economic growth of nation. Nevertheless, most studies have been investigated the relationship between entrepreneurship and venture creation, and a few studies have analyzed the innovation and technological convergence of SMEs. The purpose of this research is to gain industrial insight into the technological convergence and to suggest a dynamic growth policy for entrepreneurs of SMEs to improve their convergence performance based on IT and BT. Therefore, we intend to propose solutions to these key questions in convergence such as; what are the key patterns in the process of technological convergence of SMEs on IT and BT, and what kinds of strategy do their need? In order to answer these research questions, we adopt network analysis using patent citation information. Results of network analysis revealed that building ecosystem based on government and universities is one of the most important factors for the future growth of SMEs in Korea. Also, the fit between technological convergence direction of SMEs and division of convergence structure of government and universities will be positively associated with dynamic growth of SMEs in Korea. In conclusion, this research extends the current studies on important aspects of SMEs in the technological convergence process by proposing their growth in convergence process to a newly converging context, IT and BT, and shed light on the integrative perspectives of crucial roles of SMEs on innovation performance in the IT and BT technological convergence.

• Resources Recycling
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• v.18 no.5
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• pp.72-81
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• 2009

The demand for platinum group metals for various advanced industries has been growing due to their excellent physical and chemical properties. Since the deposit of platinum minerals are restricted to few countries, their recovery from various secondary resources has becomes an important issue to related industries for keeping the supply reliably. In this paper, patents on the metallurgical technologies for the platinum group metals were analyzed. The search of patent was limited to the open patents of USA (US), European Union (EP), Japan (IP), and Korea (KR) from 1986 to 2006. Patents were surveyed using key-words searching and selected by filtering criteria. The trend of patents was analyzed by the years, countries, companies, and technologies.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.117-143
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• 2014

Tracing an evolutionary technological trajectory in the macroscopic viewpoint is useful for technology policy, but not for corporate technology and intellectual property strategy. Tackling this issue, recent bibliometric studies using patents and papers have made efforts to identify more specific and detailed technological trajectory. However, these studies cannot go beyond simple description of the past trajectory. Also, identification of technology fusion and evolution relies on experts judgments. We suggest a way of identifying microscopic evolutionary technological trajectories by combining patent citation network analysis with dynamic technology tree. Also, using new indicators of generality, diversity and novelty, we can detect key technologies that can be a starting point of next generation technology and derivative technology. HVDC(High Voltage DC transmission) system technology is exemplified.

• Resources Recycling
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• v.18 no.1
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• pp.58-67
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• 2009

The annual requirement of domestic waste photoresist stripper solution is about 1 trillion won level (50,000 tons) depends entirely on imports for its supplies. Nevertheless, there waste strippers which contain the impurities have been recycled or incinerated to a low level of recycle. These days the recycling technologies of the waste stripper solution has been widely studied from the view points of economy and efficiency. In this paper, the recycling technologies on patent of the waste stripper solution were analyzed. The range of search was limited within the open patents of USA (US), European Union (EP), Japan (JP), and Korea (KR) up to september, 2007. Patents have been collected using key-words searching and filtered by filtering criteria. The trends of the patents was analyzed by the years, countries, companies, and technologies.