适应性知识地图建模 检索及显示方法分析-analysis of adaptive knowledge map modeling retrieval and display method.docx
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适应性知识地图建模 检索及显示方法分析-analysis of adaptive knowledge map modeling retrieval and display method
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第 II 页
通过分析与其他形式检索的异同,本文提出了基于知识地图检索
的检索目标以及框架,并讨论了传统的关联扩展在知识地图检索中所 遇到的问题,进而提出一种不依赖权值的关联扩展检索算法。最后, 本文介绍了动态知识地图的交互式显示界面,讨论了一些重要界面功 能的特点,并结合本文提出的知识地图模型介绍了我们自己的设计。
关键词:知识地图,本体,知识管理,知识检索,知识可视化
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第 PAGE IV 页
Adaptable Methods for the Modeling, Searching and Visualization of Knowledge Map
ABSTRACT
Knowledge Maps are useful knowledge retrieving and visialization tools in knowledge management (KM) process. They are typically used to demonstrate specific aspects of the enterprise knowledge base, help stakeholders search and locate knowledge and accelerate the internalization process of explicit knowledge and the socialization process of tacit knowledge, therefore promoting the efficiency of utilizing organization knowledge. However, because of the lack of a broadly accepted standard and clearly stated definition, many researchers nowadays are actually doing research of different disciplines under the name of knowledge map. Some other researchers use their expertise to build up special knowledge maps only for some specific fields. These knowledge maps are usually limited to be transformed to other situations. According to the traditionally KM understanding of knowledge map, We treat them as a graphical knowledge retrieving and visualization tool built upon existing knowledge bases. And we mainly discuss knowledge maps based on ontological structured knowledge base, because ontology is an important way of knowledge representation today and our team has rich
experience on ontology based knowledge management systems.
This paper suggests a relation combination model and an abstract knowledge node model as an abstraction mechanism for knowledge maps while pointing out the difference between knowledge map and ontology visualization. After that, some adaptive description methods upon these models are discussed to deal with the changes of knowledge base. Then we analyzed the main target and framework of knowledge map based search, talked about the problems traditional relation e
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