Recognizing and Filtering Web Documents with Using Ontology

In so far as users can have access to required data among piles of documents in World Wide Web, there is need for systematic methods of search. This paper puts to evaluation the extent of relationship between a semi structured HTML and ontology using some statistical techniques. For this purpose, having considered the existing data in ontology, what be calculated is the expected density and expected value for an ontology-related document. For giving an idea on a sample document, we need to count lexical objects viewed in the document conforming to lexical objects within ontology and upon using it, viewed density is put to calculation for the document. Then, having used lemma Pearson, there is a need to set an acceptable limitation for comparing expected density and expected value with view density and view value. 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 95% reliable range, shows that the recommended method´s ability to achieve value recall 100% and precision 83% is able.