SENSE BASED INDEXING OF HIDDEN WEB USING ONTOLOGY

Abstract

Today when internet is considered to be a storehouse of information where one can get everything and every kind
of information one needs. Thus with growing world and the growing needs of people the volume of information on internet is
increasing tremendously. To handle this large amount of information, Web searchers use search engines. But what we
browse through usual search engines is only the surface web. But there also exists a hidden web which contains a large
collection of data that we cannot access just by using normal search engines which are solely based on hyperlinks. This
hidden data is accessed by passing through different types of barriers generally it is a form based gateway. After filling in the
form one gets the entrance in the hidden web. However indexing helps in arranging the search or the query results without
bypassing this form. Different techniques have been developed for this purpose. The main objective of this paper is to find out
a method that indexes the hidden web pages according to its relevance for a particular context of a search query, a method
that uses the prevailing techniques and gives the required output using ontology. One of the advantages of storing an index is
that it optimizes the performance and also it finds out relevant documents from the search engine storage area for a user
given search query with specific context.