Context Based Index Construction for Web Search Engines Using Agents

Main goal of search engine is to provide most relevant documents to the users in minimum possible time. The major issue for performances of Web Search Engine is to provide efficient and fast access to the index. Indexing is performed on the web pages after they have been collected into the repository by the crawling agent. The existing architecture of search engine shows that the index is built on the basis of the terms of the document and contains posting lists where each posting list is associated with a term as well as the identifiers of the documents containing the term. The current information retrieval systems use terms to describe documents and search engines. In this paper, we propose an indexing structure in which index is built on the basis of context of the document using migrating agents. The agentbased collection selection method uses context to describe collection of the documents and search engines. The context of the documents being collected by the crawling agent in the repository is being extracted by the indexer agent using the context repository, thesaurus and agent repository and then documents are indexed according to their respective context.