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KNOWLEDGE SEARCH IN INTERNAL AND EXTERNAL DOCUMENTS

机译:内部和外部文档的知识搜索

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摘要

The documents which are not in possession and under control of user cannot be changed according to the users needs. On the other hand this group of texts is numerous and can be processed using various text mining tools. The results of automatic knowledge mining are in many cases not much beneficial. After all processing of a great number of documents of different authors on the same topic can bring new implicit knowledge. In the article we propose a combined method for realizing important characteristics of a product from documentation published by different rival firms. The internal documents of firms are usually designed for complete reading by subject person. Different situation comes over in situation of need of quick response. Such situation can be connected with rapid changes in marked conditions, actions of competitors. In such cases there it is necessary to find quickly proper documents or their parts. We propose to analyze and reshape the documents using soft system methodology. According to the knowledge flow analysis the structure of documents can be designed or changed. The header of documents should be completed with corresponding keywords which can be used for automatic or semi automatic knowledge search.
机译:用户无法拥有和控制的文件无法根据用户需要进行更改。另一方面,这组文本很多,可以使用各种文本挖掘工具进行处理。在许多情况下,自动知识挖掘的结果并没有太大好处。毕竟,处理同一主题的不同作者的大量文档后,可能会带来新的隐性知识。在本文中,我们提出了一种组合方法,用于根据不同竞争对手的公司发布的文档来实现产品的重要特性。公司的内部文件通常旨在供主体完整阅读。在需要快速响应的情况下出现了不同的情况。这种情况可能与明显变化的条件,竞争对手的行为有关。在这种情况下,必须迅速找到合适的文件或其零件。我们建议使用软系统方法来分析和重塑文档。根据知识流分析,可以设计或更改文档的结构。文档的标头应使用可用于自动或半自动知识搜索的相应关键字来完成。

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