Service-Oriented Knowledge Modeling Method and its Application

Knowledge services technology is becoming the important means to realize business intelligence and knowledge-based systems. Based on the development of grid and Web services technologies, using service-oriented architecture to build knowledge services is mentioned by many researchers. In this paper, a multi-perspective knowledge service description model (KSDM) for overall knowledge service modeling is proposed. The model pays attention to the executable part such as the dynamics, process, functionality and context of knowledge within knowledge service, which have not been addressed in existing knowledge service methods. Besides the basic configuration part, the model emphasizes definition of the knowledge contents part from four main perspectives that are domain knowledge, inference knowledge, task knowledge and context knowledge. For the application in real systems, a task-oriented architecture based on KSDM is proposed. And an implementation of mine resources evaluation knowledge service on spatial information grid is introduced

[1]  Mario Cannataro,et al.  Distributed data mining on the grid , 2002, Future Gener. Comput. Syst..

[2]  Guus Schreiber,et al.  Knowledge Engineering and Management: The CommonKADS Methodology , 1999 .

[3]  A. Evans,et al.  Knowledge Modelling Techniques for Developing Knowledge Management Systems , 2002 .

[4]  John Kingston,et al.  Knowledge management through multi-perspective modelling: representing and distributing organizational memory , 2000, Knowl. Based Syst..

[5]  Hai Zhuge,et al.  China's E-Science Knowledge Grid Environment , 2004, IEEE Intell. Syst..

[6]  Tang Yu Study on System Framework and Key Issues of National Geological Application Grid , 2003 .

[7]  Huajun Chen,et al.  Knowledge base grid: A generic grid architecture for semantic web , 2003, Journal of Computer Science and Technology.

[8]  DOMENICO TALIA,et al.  Knowledge Grid Designing , building , and implementing an architecture for distributed knowledge discovery , 2022 .

[9]  Simon J. Cox,et al.  Knowledge Services for Distributed Service Integration , 2002 .

[10]  Yan Ren,et al.  Dynamic Models of Knowledge in Virtual Organizations , 2005, GCC.

[11]  Deke Guo,et al.  Service Virtualization in Large Scale, Heterogeneous and Distributed Environment , 2005, GCA.

[12]  Mario Cannataro,et al.  The knowledge grid , 2003, CACM.

[13]  Nicholas R. Jennings,et al.  The Semantic Grid: A Future e‐Science Infrastructure , 2003 .

[14]  Hai Zhuge,et al.  A knowledge grid model and platform for global knowledge sharing , 2002, Expert Syst. Appl..