caa a22 4500 606160485 CHVBK 20210128100630.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1616-y doi (NATIONALLICENCE)springer-10.1007/s00521-014-1616-y A patent time series processing component for technology intelligence by trend identification functionality [Elektronische Daten] [Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu] Technology intelligence indicates the concept and applications that transform data hidden in patents or scientific literatures into technical insight for technology strategy-making support. The existing frameworks and applications of technology intelligence mainly focus on obtaining text-based knowledge with text mining components. However, what is the corresponding technological trend of the knowledge over time is seldom taken into consideration. In order to capture the hidden trend turning points and improve the framework of existing technology intelligence, this paper proposes a patent time series processing component with trend identification functionality. We use piecewise linear representation method to generate and quantify the trend of patent publication activities, then utilize the outcome to identify trend turning points and provide trend tags to the existing text mining component, thus making it possible to combine the text-based and time-based knowledge together to support technology strategy making more satisfactorily. A case study using Australia patents (year 1983-2012) in Information and Communications Technology industry is presented to demonstrate the feasibility of the component when dealing with real-world tasks. The result shows that the new component identifies the trend reasonably well, at the same time learns valuable trend turning points in historical patent time series. Springer-Verlag London, 2014 Technology intelligence nationallicence Patent time series nationallicence Piecewise linear representation nationallicence Patent analysis nationallicence Chen Hongshu School of Management and Economics, Beijing Institute of Technology, 100081, Beijing, China aut Zhang Guangquan Decision Systems and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), 15 Broadway, Ultimo, PO Box 123, 2007, Sydney, NSW, Australia aut Zhu Donghua School of Management and Economics, Beijing Institute of Technology, 100081, Beijing, China aut Lu Jie Decision Systems and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), 15 Broadway, Ultimo, PO Box 123, 2007, Sydney, NSW, Australia aut Neural Computing and Applications Springer London 26/2(2015-02-01), 345-353 0941-0643 26:2<345 2015 26 521 https://doi.org/10.1007/s00521-014-1616-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1616-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Hongshu School of Management and Economics, Beijing Institute of Technology, 100081, Beijing, China aut NATIONALLICENCE 700 1- Zhang Guangquan Decision Systems and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), 15 Broadway, Ultimo, PO Box 123, 2007, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Zhu Donghua School of Management and Economics, Beijing Institute of Technology, 100081, Beijing, China aut NATIONALLICENCE 700 1- Lu Jie Decision Systems and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), 15 Broadway, Ultimo, PO Box 123, 2007, Sydney, NSW, Australia aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 345-353 0941-0643 26:2<345 2015 26 521