知识管理系统中web文档分析采用层次结构

Rozlini Mohamed, J. Watada
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引用次数: 0

摘要

本文的目的是通过对逻辑层次结构的证据推理来分析网络结构。在web上进行搜索时,搜索引擎会返回一组web文档。但是一些网络文档不适合我们正在寻找的。目标文件称为相关文件,其余文件称为无关文件。我们的重点放在web文档结构和链接分析上。web文档以适当的标签分组,并以逻辑层次结构组织。Watada提出的定理将根据信念和似然函数来分析逻辑层次结构中概念或事件的价值。根据这些值,“影响事件”可以决定何时将不相关的文档包含在有关旅游管理的网络文档中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adoption of hierarchical structure for web document analysis in knowledge management system
The objective of this paper is to analyze a web structure by means of using evidential reasoning to logical hierarchy structure. During the searching on the web, the search engine will return a set of web documents. But some web documents do not fit what we are looking for. The targeted documents are called relevant document, and the rests are irrelevant documents. Our focus is placed on the web document structure and link analysis. The web documents are grouped in an appropriate label and organized in logical hierarchy structure. The theorems proposed by Watada will employed to analyze the value of concepts or events in logical hierarchy structure according to belief and plausibility functions. From these values “influence events” can be determining when an irrelevant document is included in the web document about Tourism Management.
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