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.