Abstract
This paper proposes a new approach to trend detections for technical terms extracted from academic literature and also describes its application. Because the trends of technical terms can express the chages of particular subjects in a specific reserach field over time, it can be successfuly utilized for researchers to establish future research plan. The experiments shown in this paper is performed by exploiting the NDSL (National Discovery for Science Leaders) academic literature data maintained by KISTI. This paper also introduces how the proposed method can be applied to InSciTe, a service that supports technology opportunity discovery (TOD).
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Hwang, MN., Cho, MH., Hwang, MG., Lee, M., Jeong, DH. (2011). Application of Trend Detection of Technical Terms to Technology Opportunity Discovery. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_33
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DOI: https://doi.org/10.1007/978-3-642-27210-3_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27209-7
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