Optimized Web Searching Using Inverted Indexing Technique

As the information on world wide web (WWW) is growing exponentially, it is very difficult to retrieve the relevant search results from datacenter repositories quickly. Prior research shows that the performance of an index deeply affects the retrieval results. However, the current practice of indexing in search engine is to recreate whenever any update of the dataset occurs in the repository. This practice can lead to performance efficiencies. To address this problem, we propose an approach based on an inverted index in this paper. We investigate various indexing approaches on the performance of the search engine. Experimentally analyze search engine performance improvement and efficiency by the creating Index. Compared with the traditional search engine architecture, the proposed scheme is containing various indexing modules for fitting the frequent update problem of index. The proposed approach will be compared with the conventional indexing approaches used in search engines and show that the proposed approach performs better than the traditional indexing schemes.