Non Overlapping Clustering based Meta Search Engine

With each passing day, the volume of information on WWW is increasing enormously which makes very difficult for a user to search the necessary document. To manage and present available information in an effective manner, authors have proposed a Meta Search Engine based on clustering where terms are extracted from URL Tag, Title Tag and Meta Tag to cluster similar documents effectively. These parts of a webpage have been selected because they better define the features of a webpage. Final results are organized and presented in the form of clusters. The obtained results of implemented MSE have been compared with existing MSEs in terms of relevancy of results