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| Enterprise knowledge network based on cognitive navigation mode |
| YANG Mi-ying1, XU Fu-yuan2,GU Xin-jian1, ZHANG Yong-wei1, DAI Feng1, BI Jing-yuan1 |
1.Institute of Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;
2. Institute of Management, University of Shanghai for Science and Technology, Shanghai 200093, China |
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Abstract Cognitive map as a tool of conveying and navigating knowledge was introduced into the knowledge network aiming at the problems including knowledge network disordering and confusion during learning and products designing process. A construction method of cognitive map model was proposed, and a more authoritative cognitive map combined with every expert’s knowledge was generated by weighted comprehensive synthesis. A cognitive navigation mode-based knowledge network was constructed based on such cognitive map in order to guide users to learn knowledge and design products. Knowledge was stored and classified in the corresponding cognitive section, enabling users to search for knowledge in their cognitive section with the appointed cognitive degree, cognitive association degree as well as importance degree. Then the useless knowledge was filtered while the most useful knowledge obtained. Based on Web2.0 technology, the knowledge network was further enriched by distribution and evaluation in the corresponding cognitive sections. Experimental results demonstrate that this knowledge network has cognitive navigation function and can help users to avoid aimless search and learning．
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Published: 01 July 2011
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基于认知导航模式的企业知识网络
针对知识网络无序化﹑知识学习和产品设计过程中容易迷失方向等问题,将认知地图作为知识表达工具和认知导航工具引入知识网络.提出构建认知地图模型的方法,通过加权综合计算,得到结合各专家知识的较权威的认知地图.在该认知地图基础上,构建基于认知导航模式的知识网络,引导用户进行知识学习和产品设计.用户可以在自己相应的认知范围内检索指定认知度、认知关联度和重要度的知识,从而过滤大量无用的知识,得到最符合用户认知水平的知识.利用Web2.0技术,在相应知识节点中进行知识发布和知识评价,进一步扩充知识网络.实例证明,该知识网络具有认知导航功能,避免了知识的盲目搜索和学习.
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