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Research on knowledge map construction in intelligentized content website

机译:智能内容网站的知识图谱构建研究

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A knowledge map is a vital tool for better knowledge management. While application of searching the content which user concerned in the website remains in the initial stages of development, website content management is a process of knowledge management and therefore suited to knowledge maps. This paper presents a knowledge map for the intelligentized content website. And in this work it constructs the architecture of the knowledge map system that is made by six modules according to the principle of high cohesion and low coupling. Then it utilizes association rules and pruning algorithm to achieve the core module of system. And the results from it are used to generating knowledge map. This map representation compensates for the lack of various meanings in a single knowledge map. For novices interested in searching website knowledge content, results of the present study provide constructive information to know their concerned content in the website. In summary, this paper presents a suitable procedure for extracting knowledge from website knowledge content sources for development of a knowledge map. The proposed approach can be used for rapid generation of knowledge maps.
机译:知识图谱是进行更好的知识管理的重要工具。虽然搜索网站中用户所关注的内容的应用仍处于开发的初始阶段,但是网站内容管理是知识管理的过程,因此适合于知识图谱。本文提出了智能内容网站的知识图谱。并且在这项工作中,它根据高内聚和低耦合的原理构建了由六个模块组成的知识图谱系统的体系结构。然后利用关联规则和修剪算法实现系统的核心模块。并将其结果用于生成知识图。这种地图表示法弥补了单个知识地图中各种含义的不足。对于有兴趣搜索网站知识内容的新手,本研究的结果提供了建设性的信息,以了解他们在网站中所关注的内容。总而言之,本文提出了一种从网站知识内容源中提取知识以开发知识图的合适过程。所提出的方法可用于快速生成知识图。

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