Capturing Semantics of Web Page using Weighted TAG- Tree for Information Retrieval

Web pages are highly dynamic and it’s difficult to retrieve the relevant web pages in top 10 search results. This is based on some ranking mechanism incorporated retrieval system. The Retrieval system is designed for ranking the relevant web pages for user query. Usually, the retrieval system considers many techniques for ranking such as link based, connectivity based and keyword based techniques. The authors’ rank the web pages using the keywords and its associated TAGs. Based on the importance of each TAGs, weights are assigned and the semantics of the page is captured. In addition, the semantic information is represented in compact tree form, which supports both incremental and interactive mining with refined retrieval. From the experimental result, the authors have observed that the performance of the proposed approach is encouraging compared to the recently proposed approach.