• 정보과학회지
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• 제29권10호
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• pp.41-51
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• 2011

• 정보과학회지
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• 제31권2호
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• pp.10-16
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• 2013

• 정보과학회지
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• 제31권5호
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• pp.25-31
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• 2013

• 정보과학회지
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• 제28권6호
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• pp.51-56
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• 2010

• 정보과학회지
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• 제28권6호
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• pp.35-42
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• 2010

• 정보과학회지
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• 제25권2호
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• pp.49-53
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• 2007

• 정보과학회지
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• 제24권12호
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• pp.38-46
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• 2006

• 정보과학회지
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• 제24권12호
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• pp.99-106
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• 2006

• Journal of Information Technology Applications and Management
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• 제19권4호
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• pp.1-18
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• 2012

This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2004년도 정기총회 및 추계학술대회 논문집
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• pp.170-179
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• 2004