Ontological Semantics Discovery for Knowledge Sharing and Knowledge Management
Ontologies enable knowledge sharing, reuse and fusion between two knowledge sources over the network. Ontologies add semantics to the data. Discovering the ontological semantics will help to increase the reliability of knowledge exchange. This paper presents a new approach for ontological semantics clustering using Formal Concept Analysis (FCA), Self-Organizing Map (SOM) and K-Means. The conceptualization of the ontology is formalized using FCA, and SOM is used to cluster the discovered ontological concepts. To reduce the problem size and to gain better visualization of the intrinsic relationship between ontological concepts, K-Means clustering is applied on the clustered SOM.
knowledge sharing knowledge management ontology data mining semantic
Ching-Chieh Kiu Chien-Sing Lee
Knowledge Management Research Centre, Department of Industrial and Systems Engineering, The Hong Kon Faculty of Information Technology, Multimedia University, 63100 Cyberjaya, Malaysia
国际会议
广州
英文
68-73
2008-12-11（万方平台首次上网日期，不代表论文的发表时间）