Title :
An Ontology Based Knowledge Clustering Method in Knowledge Space
Author :
Gou, Jin ; Wu, Yangyang ; Luo, Wei
Author_Institution :
Coll. of Inf. Sci. & Eng., Huaqiao Univ., Quanzhou
Abstract :
A method to cluster elements of a knowledge space is presented in this paper. Knowledge elements are represented as object nodes with a well-defined hierarchical logical model using ontology technology. Some set of such nodes can be clustered to be a new node according to rules based on semantic relationships. Such clustering process can improve the structure of the whole knowledge space and decrease the amount of knowledge objects in an actual knowledge based system. The analysis of a case study shows the feasibility and efficiency of design rationale.
Keywords :
knowledge based systems; ontologies (artificial intelligence); pattern clustering; hierarchical logical model; knowledge based system; knowledge clustering method; knowledge element; knowledge space structure; object node; ontology; semantic relationship; Clustering algorithms; Clustering methods; Educational institutions; Information science; Knowledge based systems; Knowledge engineering; Labeling; Ontologies; Space technology; Uncertainty; Knowledge engineering; knowledge cluster; knowledge space;
Conference_Titel :
Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on
Conference_Location :
Xiamen, Fujian
Print_ISBN :
1-4244-1035-5
Electronic_ISBN :
1-4244-1035-5
DOI :
10.1109/IWASID.2007.373666
