Abstract
In recent, business intelligence becomes one of important issues due to various analyses on technology trends. Especially, understanding the relations and influences between technologies is core property for the high-performed analysis. To do this, a few works have utilized ontologies constructed automatically but still have many errors and it causes difficulty while interpreting technology trends. Therefore this paper introduces an application which visualizes relationships and influences between technologies according to time series. Our application provides clues for intuitive observations of relationship change between technologies.
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References
Kim, J., Hwang, M., Jeong, D.-H., Jung, H.: Technology Trends Analysis and Forecasting Application based on Decision Tree and Statistical Feature Analysis. Expert Systems with Applications 39, 12618–12625 (2012)
Hwang, M.-N., Seo, D., Lee, S., Cho, M., Song, S.-K., Lee, J., Hong, S.-C., Choi, S.-P., Jung, H.: Ontology Model of Technical Knowledge for Analytics. In: Proceedings of International Conference on Smart Media and Applications, pp. 13–14 (2012)
Hwang, M.-N., Lee, S., Cho, M., Kim, S.Y., Choi, S.-P., Jung, H.: Ontology Construction of Technological Knowledge for R&D Trend Analysis. The Journal of the Korea Contents Association 12(12), 35–45 (2012)
Kim, J., Jeong, D.-H., Lee, D., Jung, H.: User-centered Innovative Technology Analysis and Prediction Application in Mobile Environment. Multimedia Tools and Applications (to appear)
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© 2014 Springer-Verlag Berlin Heidelberg
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Hwang, M. et al. (2014). Application for Temporal Analysis of Scientific Technology Information. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_30
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DOI: https://doi.org/10.1007/978-3-642-40675-1_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
Online ISBN: 978-3-642-40675-1
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