School of Management and Economics, Beijing Institute of Technology, Beijing, China, 100081

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Abstract—The efficiency of knowledge sharing and learning is the key to obtain sustainable development for the knowledge-intensive industry. However, current application of enterprise knowledge repository can hardly adapt to the personalized retrieval with semantic expansion and can not support the dynamic mechanism of knowledge sharing. This paper focuses on an integrated framework and operating processes of dynamic knowledge repository construction. Through analyzing the key technology points of business logic processing layer and data services layer particularly, the ontology and CBR-based knowledge storage and retrieval mechanism are studied, which improve the effectiveness of knowledge management.

Index Terms—ontology; case based reasoning; knowledge repository; semantic retrieval

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Cite: Huiying Gao and Xiuxiu Chen, "Ontology and CBR-based Dynamic Enterprise Knowledge Repository Construction," Journal of Software vol. 7, no. 6, pp. 1211-1218, 2012.