You are welcome to use the automated subject digital knowledge service network platform and give us valuable comments and suggestions.

Appendix:Technical solution for knowledge element Extraction

Hello, everyone, the automated subject digital knowledge service network platform undertaken by the Integrated Information Center of the Chinese Emy of sciences and supported by the Ministry of Science and Technology of the People's Republic of China has been launched. The website address is:Http://autoinnovation.ia.ac.cn/,You are welcome to use the plug-in, and provide us with comments and suggestions (Note: (1) If your browser does not install the Silverlight plug-in for the first time, please download and install the plug-in as prompted; (2) If you encounter some minor problems during use, you can view the Help file of the website. (3) The best result is displayed on the 1440x900 display screen ).

Figure1Network Platform Layout

This platform aims to explore, analyze and present the academic development in China's automation field (including some computer and communication fields) since 1960. We strive to present a three-dimensional panoramic view of academic activities in the automation field in China, including literature, scholars, institutions, and research directions, methods, theories, and tools in the field, comprehensive association analysis is performed. In order to better display the knowledge, we use Silverlight, Ajax and other technologies for website development based on the well-designed page layout. In order to make the displayed knowledge more accurate, in data processing, we use a variety of data mining technologies, including nameentity recognition and discrimination, and text clustering.

The platform embodies the painstaking efforts of teachers, developers, and multiple students in the integrated information center. Whether in the preliminary design, back-end data processing, or front-end website development, we strive to choose the best solution based on the principle of excellence. However, as a development team with a limited number of members, our thinking is inferior to the wide range of group wisdom. To this end, we sincerely welcome all teachers, students, and staff to give us your valuable suggestions. We welcome your comments and suggestions from various levels. Your comments and suggestions will be the most powerful source of urging us to make progress and improvements!

 

Our contact information is:

Sina Weibo:Http://weibo.com/autoinnovation

Sina Blog: http://blog.sina.com.cn/u/2280242105

Email:Y.liu@ia.ac.cn

If you find it convenient, you can leave your name and organization. We will thank you on our website!