Abstract
To explore the clues of an emerging technology is essential for a company or an industry so that the company can consider the feasibility of resource allocation to the technology and the industry can observe the developing directions of the technology. Patent data contains plentiful technological information from which it is worthwhile to extract further knowledge. Therefore, a research framework for emerging technology exploration has been formed where rare information retrieval is designed to sift out the rare patents, cluster analysis is employed to generate the clusters, and link analysis is adopted to measure the link strength between the rare patents and clusters. Consequently, the rare patents were found, the clusters were generated and named, the notable rare patents were recognized, and the potentiality of emerging technology was discussed. Finally, the notable rare patents and the potentiality of emerging technology would be provided to the decision makers of companies and industries.
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Chiu, TF., Hong, CF., Chiu, YT. (2012). Emerging Technology Exploration Using Rare Information Retrieval and Link Analysis. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34707-8_55
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DOI: https://doi.org/10.1007/978-3-642-34707-8_55
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