Abstract:

According to the  report by the world intellectual property office, patent information is one of the  largest scientific and technical information resources with timely, reliable, detailed and other significant characteristics, which can reflection  the concentrated advantages in science and technology. However, at present domestic patent research focuses on patent subjects. To find out the hidden technical information in patent texts, we firstly extract the technical features from the title and abstract of car patent from SIPO database, and construct a patent feature vector. Then the orderly clustering method is used to divide the basic stages of domestic car development. Meanwhile, word frequency and word cooccurrence are the two methods used to analyze the differentiated phases, which can provide a better understanding of the gravity of technology as well as the laws for the development of each phase. Finally, we analyze the evolution process of domestic car development from the perspective of technical information, and provide a reference for relevant personnel.

Key words: car patent;sequence clustering;word cooccurrence;knowledge evolution