Title :
Knowledge Elements Mining Subsystem of Knowledge Abstract and Fusion System
Author :
Zou, Junhua ; Liu, Qingtang ; Yang, Zongkai
Author_Institution :
Eng. Res. Center for Inf. Technol. on Educ., Huazhong Normal Univ., Wuhan
Abstract :
Knowledge develops and spreads rapidly in quality, quantity, profundity and extension. The key source of sustainable competitive advantage relies on the way to create, share, and utilize knowledge. This paper discusses the necessity of using knowledge elements for managing and representing knowledge, presents the framework of the main system, and describes the process of the knowledge elements mining subsystem and the main relationships of knowledge elements.
Keywords :
data mining; knowledge representation; fusion system; knowledge abstract; knowledge elements mining subsystem; knowledge representation; Content based retrieval; Information retrieval; Information technology; Knowledge acquisition; Knowledge engineering; Knowledge management; Ontologies; Semantic Web; Systems engineering education; Visualization;
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
DOI :
10.1109/KAM.2008.169