Accessing the Deep Web Using Ontology

Ontologies act like a bridge between user expressions and raw data. Hence, they can play an important role in assisting the users in their search for Web pages. Different users use different queries according to their knowledge and intuition to find the results. The numbers of relevant Web pages returned to users differ depending on the terms entered into the search box of traditional search engines. Many Web pages returned to users may be completely irrelevant, and it takes too long for users to identify the relevant Web pages by going through too many results. It is necessary to develop a methodology such that the number of returned Web pages becomes smaller while the overall number of relevant Web pages becomes bigger. This paper proposes a novel approach that combines Deep Web information, which consists of dynamically generated Web pages and cannot be indexed by the existing automated Web crawlers, with ontologies built from the knowledge extracted from Deep web sources. Here, Ontology based search is divided into different modules. The first module constructs attribute-value ontology. Second module constructs the attribute-attribute ontology. Third module formulate the user query, fills the search interface using domain ontology, extract results by looking into the index database.