Title :
An Identification of Technology Opportunity on Dye-Sensitized Solar Cell
Author :
Chiu, Tzu-Fu ; Hong, Chao-Fu ; Pai, Chun-An ; Yang, Shih-Wei
Author_Institution :
Dept. of Ind. Manage. & Enterprise Inf., Aletheia Univ., Tamsui, Taiwan
Abstract :
Solar cell, one of green energies, is growing at a fast pace with its clean and renewable characters in recent 20 years. Patent data contains plentiful technological information from which it is worthwhile to extract further knowledge. Thus, a research framework of grounded theory and text mining has been proposed in order to analyze the patent data of thin-film solar cell so as to explore its technology opportunity. Grounded theory is employed to provide a coding procedure for directing the human involvement, while text mining is adopted to provide the computing ability for performing the computer-aided data analysis. Consequently, the axial categories were identified, the selective category was recognized, the technology opportunity was explored, and the contributive organizations were also observed.
Keywords :
data analysis; data mining; dyes; electrical engineering computing; patents; semiconductor thin films; solar cells; text analysis; axial category identification; computer-aided data analysis; dye-sensitized solar cell; grounded theory; patent data analysis; selective category; technology opportunity; text mining; thin-film solar cell; Abstracts; Educational institutions; Encoding; Organizations; Patents; Photovoltaic cells; Text mining; association analysis; grounded theory; patent data; technology opportunity; thin-film solar cell;
Conference_Titel :
Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4673-2838-8
DOI :
10.1109/IBICA.2012.17