Volume 33 Issue 02
Feb.  2007
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Gu Wendong, Xia Guoping, You Weijiaet al. Method of enterprise knowledge integration based on semantic web[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(02): 243-247. (in Chinese)
Citation: Gu Wendong, Xia Guoping, You Weijiaet al. Method of enterprise knowledge integration based on semantic web[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(02): 243-247. (in Chinese)

Method of enterprise knowledge integration based on semantic web

  • Received Date: 14 Mar 2006
  • Publish Date: 28 Feb 2007
  • In most of today′s enterprises, organization knowledge is located in separate operation systems, therefore the knowledge management is not well realized. Based on enterprise′s legacy systems, an application framework which supports the EKI(enterprise knowledge integration) by applying semantic web technology was proposed. The architecture of the framework was divided into four layers from bottom to top: data layer, operation application layer, knowledge integration layer and knowledge service layer. Each layer was introduced in detail. Four key techniques for the architecture, i.e. data semantic transformation, unified knowledge representation by RDF(resource description framework)/RDFS(RDF schema), constructing knowledge chain and knowledge query were further studied. An approach with eight definite steps to develop the framework was also proposed for referenced. Finally, application of the proposed framework in a famous Chinese large scale hydropower corporation was further provided to illustrate the effectiveness of the framework.

     

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  • [1] Demsetz H. The theory of the firm revisited Will iamson O, Winter S. The Nature of the Firm. Oxford:Oxford University P ress, 1991  [2] Grant R. Prospering in dynamically-competitive environment:organization al capability as knowledge integration [J]. Organization Science, 1996, 7(4): 375-387 [3] 顾新建, 祁国宁. 知识集成初探 [J]. 计算机集成制造系统, 2000, 6(1):8-13 Gu Xinjian, Qi Guoning. Research on knowledge integration[J]. Computer Integr ated Manufacturing Systems, 2000,6(1):8-13(in Chinese) [4] 王娟茹, 赵嵩正, 杨瑾. 知识集成模式研究[J]. 工业工程, 2004,7(6):2 6-29 Wang Juanru, Zhao Songzheng, Yang Jin. Models of knowledge integration[J]. Ind ustrial Engineering Journal, 2004,7(6):26-29(in Chinese) [5] Maryam A, Dorothy E L. Review:knowledge management and knowledg e management systems:conceptual foundations and research issues [J]. Manageme nt Information Systems Quarterly, 2001, 25(1):107-136 [6] Fernandes A, de C Moura A M, Porto F. Database and expert systems appli cations Proceedings. 14th International Workshop on 1-5 Digital Object Identifier 10.1109/DEXA,2003:604-609 [7] Liao Shuhsien. Knowledge management technologies and applications-iterature review from 1995 to 2002 [J]. Expert Systems with Applications, 2003 (5):155-164 [8] Lee T B,Hendler J,Lassila O. The semantic web [J]. Scientific Ame rican,2001,284(5):34-43 [9] 周武, 金远平. XML数据语义映射方法研究 [J]. 计算机工程与应用, 20 03 (28):88-91 Zhou Wu, Jin Yuanping. A study of approaches to XML data semantic mapping [J]. Computer Engineering and Application, 2003 (28):88-91(in Chinese) [10] Gruber T. Towards principles for the design of ontologies used f or knowledge sharing [J]. International Journal of Human-Computer Studies, 19 95, 43(5/6):907-928 [11] Pérez A G, Benjamins V R. Overview of knowledge sharing and reuse comp onents:ontologies and problem-solving methods IJCAI-99 Workshop on Onto logies and Problem-Solving Methods (KRR5).Stockholm, Sweden:, 1999:1-15 [12] 王向华, 何坚, 覃征, 等. 面向Web的知识描述语言 [J]. 北京航空航天大学学报, 2004,30(7):674-678 Wang Xianghua,He Jian,Qin Zheng,et al. Web-oriented knowledge description la nguage[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004 ,30(7):674-678(in Chinese)
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