Title :
A new classification method on the basis of a Patent-Science relationship
Author :
Li, Y.R. ; Li, T.Y.
Author_Institution :
Dept. of Inf. Manage., Univ. of Aletheia, Taipei, Taiwan
Abstract :
International patent code (IPC) and United States patent code (UPC) are the two most common classification systems in the patent database, but they have difficulties in revealing the technological characteristics of different industries. This paper proposes a new method based on a science-technology relationship, offering three main contributions: first, provide a new classification method based on the patent scientific literature; second, assist high-technology firms to measure their competitors and have foresight on future science and technology roadmap; third, analyze the technological dynamics by tracking the patent and scientific keywords.
Keywords :
patents; United States patent code; classification systems; international patent code; patent-science relationship; Data mining; Databases; Industrial relations; Information analysis; Information management; Research and development; Statistical analysis; Statistics; Technological innovation; Text mining; Patent Analysis; Patent Citations; Technology Classification; Text Mining;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5372971