Abstract
To recognize technical trends is essential for the interested parties to understand the development directions of a technology at the industry level. Therefore, a research design has been formed for conducting technology roadmapping where association analysis is employed to measure the co-occurrence in the patent data sets and data crystallization is adopted to build the relations between clusters. Consequently, a technology roadmap for thin-film solar cell was constructed and relations between topics and subtopics were identified. Finally, according to the relations, the technical trends of thin-film solar cell were recognized and depicted.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gindy, N., Cerit, B., Hodgson, A.: Technology roadmapping for the next generation manufacturing enterprise. Journal of Manufacturing Technology Management 17(4), 404–416 (2006)
Blackman, M.: Provision of Patent Information: A National Patent Office Perspective. World Patent Information 17(2), 115–123 (1995)
Groenveld, P.: Roadmapping Integrates Business and Technology. Research-Technology Management 50(6), 49–58 (2007)
Daim, T.U., Oliver, T.: Implementing Technology Roadmap Process in the Energy Services Sector - A Case Study of a Government Agency. Technological Forecasting and Social Change 75(5), 687–720 (2008)
Suh, J.H., Park, S.C.: Service-Oriented Technology Roadmap (SoTRM) using Patent Map for R&D Strategy of Service Industry. Expert Systems with Applications 36, 6754–6772 (2009)
Solarbuzz, Solar Cell Technologies (2010), http://www.solarbuzz.com/technologies.htm
Wikipedia, Thin film solar cell (2010), http://en.wikipedia.org/wiki/Thin_film_solar_cell
Jager-Waldau, A.: PV Status Report 2008: Research, Solar Cell Production and Market Implementation of Photovoltaics. JRC Technical Notes (2008)
Tan, P.N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Addison-Wesley, Reading (2006)
Ohsawa, Y., Benson, N.E., Yachida, M.: KeyGraph: Automatic Indexing by Co-Occurrence Graph Based on Building Construction Metaphor. In: Proceedings of the Advanced Digital Library Conference (IEEE ADL 1998), pp. 12–18 (1998)
Maeno, Y., Ohsawa, Y.: Human-Computer Interactive Annealing for Discovering Invisible Dark Events. IEEE Transactions on Industrial Electronics 54(2), 1184–1192 (2007)
Ohsawa, Y.: Data Crystallization: Chance Discovery Extended for Dealing with Unobservable Events. New Mathematics and Natural Computation 1(3), 373–392 (2005)
Chiu, T.F.: Applying KeyGraph and Data Crystallization to Technology Monitoring on Solar Cell. Journal of Intelligent & Fuzzy Systems 21(3), 209–219 (2010)
USPTO: the United States Patent and Trademark Office (2010), http://www.uspto.gov/
Stanford Natural Language Processing Group, Stanford Log-linear Part-Of-Speech Tagger (2009), http://nlp.stanford.edu/software/tagger.shtml
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chiu, TF., Hong, CF., Wang, Lh., Chiu, YT. (2011). To Construct a Technology Roadmap for Technical Trend Recognition on Thin-Film Solar Cell. In: Onada, T., Bekki, D., McCready, E. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2010. Lecture Notes in Computer Science(), vol 6797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25655-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-25655-4_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25654-7
Online ISBN: 978-3-642-25655-4
eBook Packages: Computer ScienceComputer Science (R0)