Title :
Research on Knowledge Base of Science and Technology
Author :
Chen, Xing ; Hong, Kun ; Wang, Hai-tao
Author_Institution :
Yunnan Provincial Key Lab. of Comput. Applic., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
Statistics of science and technology is not only a daily task of technology sector, but also an important reference for government decision. How it is possible to deal statistics data by computer system automatically? It is a goal for information system specialists and scientific and technical workers. We studied many documentations and reports of statistics for science and technology in Kunming and other province. So we provided a knowledge base of statistics based categories theory and ontology, and found the computing principle on the knowledge base. Our innovation is the way to build the knowledge base for statistics of science and technology which can accommodate all the statistics information of concepts and specification and design and perform strategies people desired. This paper provided ideas to statistics computing automatically.
Keywords :
knowledge based systems; ontologies (artificial intelligence); statistical analysis; computer system; knowledge base; ontology; science and technology; statistics based categories theory; statistics computing; statistics data; Cities and towns; Computational modeling; Computers; Kernel; Knowledge based systems; Laboratories; Ontologies; Statistics; categories theory; knowledge base; travel on graph;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.82