A Novel Approach in Indexing using FOR

Information retrieval and search engine indexes are contains large quantities of text. Information retrieval is concerned with representing, searching, and manipulating large collections of electronic text and other human language data. Web search engines - Google, Bing, and others - are by far the most popular and heavily used IR services, providing access to up-to date technical information. Indexes are the key technology corroborate efficient text search. In this system we are use the various existing techniques & compression approaches for reduce index sizes and improve the performance of query processing that uses compressed indices to find relevant documents for the users' queries. Inverted index data structure is the main method of indexing used to provide efficient query evaluation. Inverted index table which includes keyword, document ID and position list, and the table can saves a lot of storage space. After then, on the basis of the table, it provides a key as dictionary compression with high compression ratio and high decompression rate for the data block. Efficient construction of inverted indexes is essential to provision of search over large collections of text data.