Research On The Applications Of The Online-reading Sites Using Web Data Mining Based On The Web Semantic Technology

The huge increase in the amount of information to the Chinese on-line reading made a requirement of optimization.On the one hand,the adjustment of the stations' link structure is necessary in order to show the important web pages;on the other hand,there is a demand for the optimization of the web sites content for the understanding of the query from user in human being.In face of these problems,the paper provided a solution combined with semantic web technology and web data mining.First of all,the paper gave an analysis of the popular algorithms focused on the web page link analysis,and pointed out the inadequate in analysis of Chinese on-line reading pages.A function used to compute the weight of words in the webpage was presented;and an improved algorithm-DS-HITS was designed,in which the similar degree of the web pages was included.Secondly,the paper made study of the webpage classification process in general,and presented the shortage of the methods based on the training set.To solve the problems,a top-down approach was designed to present construction of the on-line reading ontology which can translate the web resources into entities with well formed concepts and ability to reasoning.A campus news-reports ontology was provided as an example and the paper presented detailed analysis of the concepts and relations.A semantic matching algorithm was designed for the learning of the instances,which was also the process of classification of the web pages.So,the query from user will be settled excellently.The paper presented an optimization model for the on-line reading web sites.In the sub-models,detailed design was shown,such as the web pages process and description of the ontology in owl.And two experiments were introduced in order to illustrate the optimization of the structure and content of the web.The solution presented by the paper,including hyperlinks analysis and web pages classification,which combined with semantic web technology and web data mining can provided effective analysis and optimization in web structure and web content.