Semantic Similarity between Documents Using Tree View Ontology

In Today's environment most of the web search engine are based on semantic check which provide help to find out meaningful documents from the web. They generally rely on keyword matching while returning document in response to user query. There are many documents that are related to each other in a semantic way. These documents are semantically same. Then keyword matching does not provide exact results in order to return these semantically similar documents in response to user query. This paper proposes a new method to find semantically similarity documents based on tree view ontology. The relation is enhanced by using relevant terms and calculates the fractions of these relations based on tree view. In this paper we provide performance results among different methods which shows the better affiance of proposed scheme.