Ontology-Based Web Pages Clustering Mining

With the development of Internet technology, processing document by hand no longer matches the increasing speed and meets people's requirements. What people need is organizing documents in an effective form, for the convenience of information retrieve, pattern discovery and recommendation, and also for purpose of preparing for categorizing the new coming documents, so Web Pages clustering become very important.This paper is mainly research clustering mining of Web pages based on ontology. Ontology as a domain model, it provides us a common understand to domain concept and concept level. At the same time, the application of ontology greatly decreases the reliability to understand of NLP technology. The main contributions and innovations of this dissertation are as follows:We present a new text presentation model based on ontology. The character of text set can present more fit though ontology.We design a clustering system of Web pages based on ontology. The System use the advantageous of domain ontology, it decreases the time of the people find the information when they look for the page, through clustering the web pages that returned in a search engine. At last, a result of explainable clustering is return to ending users.