(2001–2005). Fund from the National High-tech R&D Program of China (863 Program) has increased from 390 million to 3.21 billion RMB during these periods. The total papers and patent applications are increased from 3509 to 23089 and from 42 to 5182
Authors:Xia Gao, Jiancheng Guan, and Ronald Rousseau
, research collaborations in China frequently occur among scientists working in different regions. A co-authored paper or co-invented patent is the main type of outcome of research collaboration facilitating knowledge transfer within and across regions
explores innovation activities and collaboration pattern of UIG in China based on patents analysis. The data source selection and search will be discussed first. Then the analytical method will be presented. Theoretical mode of innovation which reflects the
104 inter-governmental S&T collaboration agreements with 97 countries. As shown by the above statements, international S&T collaboration has shown a good momentum in the development.
The importance of the co-author papers and patents has grown
The analysis of full texts is moving ever further into the centre of attention in the field of patent analysis. Some methods, which allow for an analysis of patents on the basis of solitary concepts extracted from
causing the flow of scientific knowledge into technology and innovation, with a quantitative description of the time distance between basic scientific research production and technological exploitations in patents. The problem of time in the study of the
Authors:Yin-Hui Cheng, Fu-Yung Kuan, Shih-Chieh Chuang, and Yun Ken
The investment in research and development (R&D) for semiconductor industry is never small as the technology cycle time (TCT)
is relatively short comparing to other industries, thus a semiconductor company requires lots of technological innovations
and capital offerings to maintain. The semiconductor industry contributes primarily part of the micro-electronic industries.
Advancing technology and patent application are the centre of attention within the semiconductor sector. This research examines
the relationship between patent quality and the profits a patent creates for a company in this selected field. This study
distinguishes itself from prior research by including cross-sectional data, time series data to simultaneously collect and
analyze. The study result shows that some indicators of patent quality are statistically significant to return on assets.
Patents represent the technological or inventive activity and output across different fields, regions, and time. The analysis
of information from patents could be used to help focus efforts in research and the economy; however, the roles of the factors
that can be extracted from patent records are still not entirely understood. To better understand the impact of these factors
on patent value, machine learning techniques such as feature selection and classification are used to analyze patents in a
sample industry, nanotechnology. Each nanotechnology patent was represented by a comprehensive set of numerical features that
describe inventors, assignees, patent classification, and outgoing references. After careful design that included selection
of the most relevant features, selection and optimization of the accuracy of classification models that aimed at finding most
valuable (top-performing) patents, we used the generated models to analyze which factors allow to differentiate between the
top-performing and the remaining nanotechnology patents. A few interesting findings surface as important such as the past
performance of inventors and assignees, and the count of referenced patents.
The measurement of textual patent similarities is crucial for important tasks in patent management, be it prior art analysis,
infringement analysis, or patent mapping. In this paper the common theory of similarity measurement is applied to the field
of patents, using solitary concepts as basic textual elements of patents. After unfolding the term ‘similarity’ in a content
and formal oriented level and presenting a basic model of understanding, a segmented approach to the measurement of underlying
variables, similarity coefficients, and the criteria-related profiles of their combinations is lined out. This leads to a
guided way to the application of textual patent similarities, interesting both for theory and practice.
Authors:Hsin-Ning Su, Carey Ming-Li Chen, and Pei-Chun Lee
The gradual increase of patent litigation in the United States can be witnessed over the past two decades (Merz and Pace 1994 ; Moore 2000 ; FTI Consulting 2011 ). Since 1976, there have been more than 30