• Title/Summary/Keyword: 과학기술 트렌드 탐지

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A Language Model and Clue based Machine Learning Method for Discovering Technology Trends from Patent Text (특허 문서 텍스트로부터의 기술 트렌드 탐지를 위한 언어 모델 및 단서 기반 기계학습 방법)

  • Tian, Yingshi;Kim, Young-Ho;Jeong, Yoon-Jae;Ryu, Ji-Hee;Myaeng, Sung-Hyon
    • 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.

Trend Analysis of Technical Terms Using Term Life Cycle Modeling (용어 활용주기 모델링을 이용한 기술용어 트렌드 분석)

  • Hwang, Mi-Nyeong;Cho, Min-Hee;Hwang, Myung-Gwon;Jeong, Do-Heon
    • The KIPS Transactions:PartD
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    • v.18D no.6
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    • pp.493-500
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    • 2011
  • The trends of technical terms express the changes of particular subjects in a specific research field over time. However, the amount of academic literature and patent data is too large to be analyzed by human resources. In this paper, we propose a method that can detect and analyze the trends of terms by modeling the life cycle of the terms. The proposed method is composed of the following steps. First, the technical terms are extracted from academic literature data, and the TDVs(Term Dominance Values) of terms are computed on a periodic basis. Based on the TDVs, the life cycles of terms are modeled, and technical terms with similar temporal patterns of the life cycles are classified into the same trends class. The experiments shown in this paper is performed by exploiting the NDSL academic literature data maintained by KISTI.

Trend Properties and a Ranking Method for Automatic Trend Analysis (자동 트렌드 탐지를 위한 속성의 정의 및 트렌드 순위 결정 방법)

  • Oh, Heung-Seon;Choi, Yoon-Jung;Shin, Wook-Hyun;Jeong, Yoon-Jae;Myaeng, Sung-Hyon
    • Journal of KIISE:Software and Applications
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    • v.36 no.3
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    • pp.236-243
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    • 2009
  • With advances in topic detection and tracking(TDT), automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line over time of a given concept by measuring the strength of trend-associated term frequency information. for detection of emerging trends, either a simple criterion such as frequency change was used, or an overall comparison was made against a training data. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function. To this end, we define four properties(change, persistency, stability and volume) of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends.

Trends Detection of Display Research Areas by Bibliometric Analysis (과학계량학 기법을 이용한 디스플레이 연구영역의 트렌드 탐지)

  • Ahn, Se-Jung;Shim, We;Lee, June-Young;Kwon, Oh-Jin;Noh, Kyung-Ran
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.6
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    • pp.1343-1351
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    • 2012
  • In this study, trends for five research areas of LED(Light Emitting Diode), OLED(Organic Light Emitting Diode), LCD(Liquid Crystal Display), PDP(Plasma Display Panel) and CRT(Cathode Ray Tube) are investigated using bibliometric analysis. The papers and patents citation data were extracted from Scopus and USPTO databases, respectively. We could figure out the research trends by the number of publications and citation information. We prospect the current interests and future trends by investigating the development process of the 5 research areas as function of time.

A Study on the Development Trend of Marine Spatial Policy Simulator Technology through Patent Analysis (특허 분석을 통한 해양공간 정책 시뮬레이터 기술개발 동향 연구)

  • Jun-hee Lee;Jeong-eun Lee;Dae-sun Kim;Min-eui Jeong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.1
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    • pp.32-42
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    • 2024
  • In this study, 1,474 effective patents were derived for quantitative analysis of five major countries, including Korea, China, Japan, the United States and Europe, for marine space policy simulator technology used as a support for integrated marine space management means, and domestic technology competitiveness and domestic and foreign technology trends were identified through annual and national patent application trends and word cloud analysis. This diagnosed the need for active policy support for research and development of marine space policy simulator technology at the government level and preparation through linkage strategies such as patent application consideration and standardization preoccupation for surrounding technologies to prepare for China-led market monopoly and preoccupation.