A Decision Support Method for Finding Appropriate Information on the Web Documents

Today, the Web has been expanded dramatically and hence, looking up desired information in a vast ocean of available data is a difficult task for users. So, we need methods which using a targeted search, help users in making decisions for choosing the appropriate documents according the desired content. In presented information retrieval technique, web documents are introduced to the user as search results. To resolve this problem can be used semantic extraction. That conclusion is valid for extraction if related subject pages identified initially. Semantic extraction ontology is one of these methods. This paper puts to evaluation the extent of relationship between a Semi structured HTML and ontology using some statistical techniques. Then with calculate the density of the document and compared with the expected density ontology in an acceptable limitation, documents related with ontology predicted. Then with calculate the density of the document and compared with the expected density ontology in an acceptable limitation, documents related with ontology predicted. If calculations for the two cases of expected value with density and view value are within the required range, then ontology would be related. According to experimental Results within a 99% reliable range, shows that the recommended method's ability to achieve value recall 100% and precision 83% is able.