, producible, and suitable for the industry. As a result, patentclassification analysis not only provides a better understanding of the current patent trends of a country, but also helps to evaluate the potential of a specific or rising industry (Chen et al
Authors:Fuyuki Yoshikane, Yutaka Suzuki and Keita Tsuji
(approximately 350,000 applications per year). The publication number, the application number, the year of publication, the classifications assigned according to International PatentClassification (IPC), and the publication and application numbers of cited
In 1883 the Kingdom of Serbia was a co-founder of the well-known Paris Convention dedicated to protection of industrial property.
This paper presents the analysis of inventive activities in Serbia in the period from 1921 to 1995. The available patent statistics
is analyzed from the aspects of: (a) patenting structure according to the International Patent Classification sections, and
(b) patenting dynamics. The findings of analysis indicate: (1) the fields in which technology development potentials are created
in Serbia, and (2) the variations in inventors' productivity as a direct consequence of the variation in the country's innovation
The link between science and technology represents a major strategic stake, so the relation between scientific bibliographic
references and technical bibliographic references can be of very important documentary interest. To set up this link, International
Patent Classification catchwords have been used as a switching language. A previous feasibility study had shown the possibilities
of such a full automatic correspondence and its obvious inadequacies. We present here the most important modifications brought
to this correspondence, in particular the consideration of multilingual indexes which allow to link several indexation fields
with one of the most complete representation of patent classification. The major evolution of our project affects the correspondence
mechanism which now generates a global reindexation of bibliographic reference with classification codes. We also discuss
the concept of correspondence itself which must be interpreted as a simple presumption of the link. There are some consequences
due to these developments: first, insofar as there is not an univocal relation, end users do not have to select switching
keywords which generate concordances. They can directly use codes which symbolize the industrial property classification.
Next, main documentary indicators do not seem to be adapted to measure the performance evaluation of this new field. It has
the single role of suggesting trails that can be explored. Lastly, it seems that only end users should be able to supply a
complete validation and we show that a documentary validation is not sufficient.
The purpose of this study is to explore the character and pattern of the linkage between science and technology in China,
based on the database of United States Patent and Trademark Office (USPTO). The analysis is focused on the period 1995–2004,
a rapid increasing period for Chinese US patents. Using the scientific non-patent references (NPRs) within patents, we investigate
the science-technology connection in the context of Chinese regions as well as industrial sectors classified by International
Patent Classification (IPC). 11 technological domains have been selected to describe the science intensity of the technology.
The results suggest that the patents and the corresponding scientific citations are related in different ways. Finally, we
match the scientific NPRs to the Science Citation Index (SCI) covered publications to identify the core journals and categories.
It reveals that the scientific references covered by SCI show a skewed distribution not only in journals but also in categories.
Authors:Dar-Zen Chen, Han-Wen Chang, Mu-Hsuan Huang and Feng-Cheng Fu
Summary This paper uses United States patent classification analysis to study the development of core technologies and key industries in Taiwan over the last 25 years, from 1978 to 2002. After counting the number of Taiwan-held United States granted utility patents, the authors divide the years into three phases: from 1978 to 1994, with less than 500 patents each year; from 1995 to 1999, with 500-2,500 patents each year; from 2000 to 2002, with annual patents greater than 2,500. The results show that for both Taiwan’s core technologies and key industries, there was a great diversity at the first phase, while a mainstream forms and matures at the second and the third phases. However, industrial development at the third phase was more concentrated and focused than previous ones. Overall, Taiwan has clearly moved from a manufacturing-based economy to an innovation-based one, with its focus on high-tech industries during the previous 25 years.
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.
Authors:Jia Zheng, Zhi-yun Zhao, Xu Zhang, Dar-zen Chen, Mu-hsuan Huang, Xiao-ping Lei, Ze-yu Zhang, Yun-hua Zhao and Run-sheng Liu
science-technology linkages by means of quantitative analysis on patents in China granted by the United States Patent and Trademark Office (USPTO).
In analysis of industrial and technological development, patentclassification, which organizes
based on an enhanced clustering method to indentify the citation route combing coupling and co-citation analysis. Kuei-Kuei Lai developed a patentclassification system based on patent similarities assessed by the frequency of the patent pairs (Lai and