Research On Semantic Web Mining Based On Ontology And Algorithm Apriori

The resources on the web are increasing day after day, because the technique of the internet is fast developed. However, the users don't think that the resource's enough. On the contrary, the users feel the resource is not useful or valuable. It is to mean, how to find the valuable message is the most important problem for the researchers. Therefore, the concept of web mining is advanced. It aims at discovering valuable message from the web documents and the records of web usage.The semantic web is the next generation of World Wide Web, the evolution of web. The purpose of the semantic web is to annotate the semantic web; the information in the web is meaningful to computer. The enormous size of the web messages, that's impossible for human to manually deal with these resources.This paper, the research of semantic web mining, is to combine the semantic web and web mining, which are developing rapidly now. The semantic web mining is to form semantic web, and apply the association rules mining algorithm to semantic web. Or, we can use the results of web mining to establish the semantic web, and then the structure of semantic web would be completed. This paper's research is introduced as following:First, gives an overview of semantic web today, including mainly the layers of semantic web, the definition of the ontology, the create tool, the reasoned tool, the create method of ontology and etc.Second, introduces the data mining and its techniques, especially the association rule mining, and the Apriori algorithm.Third, the two areas of semantic web and web mining are how to combine, the theory of combining them. Then, the paper gives the model of semantic web mining, the gaps of semantic web and web mining, and proposes a method of the gap to improve. In chapter five, we have the experiment based on the theory, test the results by comparing with the results of semantic reasoning to ontology with Jena.Finally, we concluded the work of this paper, gave the outlook of the semantic web mining, and how about the next step of this work.