• Journal of KIISE:Software and Applications
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• v.36 no.5
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• pp.420-429
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• 2009

Patent text is a rich source for discovering technological trends. In order to automate such a discovery process, we attempt to identify phrases corresponding to the problem and its solution method which together form a technology. Problem and solution phrases are identified by a SVM classifier using features based on a combination of a language modeling approach and linguistic clues. Based on the occurrence statistics of the phrases, we identify the time span of each problem and solution and finally generate a trend. Based on our experiment, we show that the proposed semantic phrase identification method is promising with its accuracy being 77% in R-precision. We also show that the unsupervised method for discovering technological trends is meaningful.

• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.860-885
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• 2005

This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.1
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• pp.30-48
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• 2019

The year 2018 is the $50^{th}$ anniversary of scientific ocean drilling. Nevertheless, we know more about the surface of the moon than the Earth's ocean floor. In other words, there are still no much informations about the Earth interior. Much of what we do know has come from the scientific ocean drilling, providing the systematic collection of core samples from the deep seabed. This revolutionary process began 50 years ago, when the drilling vessel Glomar Challenger sailed into the Gulf of Mexico on August 11, 1968 on the first expedition of the federally funded Deep Sea Drilling Project (DSDP). DSDP followed successively by Ocean Drilling Program (ODP), Integrated Ocean Drilling Program (old IODP), and International Ocean Discovery Program (new IODP). Concerning on the results of scientific ocean drilling, there are two technological innovations and various scientific research results. The one is a dynamic positioning system, enables the drilling vessel to stay fixed in place while drilling and recovering cores in the deep water. Another is the finding of re-entry cone to replace drill bit during the drilling. In addition to technological innovation, there are important scientific results such as confirmation of plate tectonics, reconstruction of earth's history, and finding of life within sediments. New IODP has begun in October, 2013 and will continue till 2023. IODP member countries are preparing for the IODP science plan beyond 2023 and future 50 years of scientific ocean drilling. We as IODP member also need to participate in keeping with the international trend.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.53-63
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• 2017

With increasing the importance of venture startup in the national economy, a trend shows that the government's policy support for venture startup is not only strengthened, but also entrepreneurial enthusiasm is increasing. In order for this trend to continue as an ongoing phenomenon, not a temporary phenomenon, venture startups should continue to grow with survival competitiveness. In this respect, there is a time when it is necessary to study the factors affecting the success of venture startups more than ever. There is a limit to seeing main factors, which affect the entry into the growth stage with survival competitiveness for the success of venture startups, as only 'entrepreneur capacity' and 'differentiation strategy' claimed by existing previous studies. As a more fundamental factor, entrepreneurial behavior is important in terms of opportunity discovery and opportunity utilization, but research into this falls short of expectations. This study is intended to look into success factors of venture startup. To achieve this, a survey was empirically carried out to CEOs in 100 small and medium venture startups through AHP analysis. The results are as follows. As stated above, entrepreneurship of success factors in venture startups is considered most critical, followed by innovation, economics, and technology. And 'entrepreneur's competency', 'positive entrepreneurial motivation', 'creative technology utilization', and 'continuous investment in technical development' are considered most critical for 'entrepreneurship', 'innovation', 'technology', and 'economics' as sub-factors, respectively. Consequently, entrepreneur's entrepreneurship that has been required in general startups is a critical factor to be also in common required in venture startups. This means that they can secure the competitiveness of venture startup along with continuous investment support in business startup with a positive mindset and their own technological competence as innovators to overcome the risk and uncertainty of business startup as entrepreneurship that marks the start of a new enterprise.