摘要： 为实现Web 2.0环境下网络知识的获取和共享，提出一种基于案例的知识管理系统。采用案例推理的方法实现知识管理，根据Web 2.0网络环境的特点，在案例表达阶段，为每个案例设置标签属性，使其能实现开放性分类。在案例检索阶段，将领域本体引入相似度的计算。利用人工神经网络算法、用户录入案例标签维护案例库和本体库。实验结果表明，该系统能快速检索出具有较高相似度的历史案例。

关键词: 知识获取, 知识共享, 标签, 案例检索

Abstract: In order to realize knowledge acquisition and knowledge sharing in Web 2.0, a case-based knowledge management system is presented. According to bottom-up approach of knowledge innovation in Web 2.0, methodology of Case-based Reasoning(CBR) is adapted to manage knowledge. In phase of case representation, tags are introduced to label each case for better case classification and identification by system users. In phase of case retrieval, domain ontology is also introduced to find the most similar history case. To maintain case base and ontology base, artificial neural network algorithm and tags created by system users are used. Experimental results show the system can improve the efficiency of the retrieval precision, and the history case has high similarity.

Key words: knowledge acquisition, knowledge sharing, tag, case retrieval

中图分类号: 

• N945