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

R. Vishnu Priya and A. Vadivel
Additional contact information
R. Vishnu Priya: Department of Computer Applications, National Institute of Technology, Tiruchirappalli, Tamilnadu, India
A. Vadivel: Department of Computer Applications, National Institute of Technology, Tamilnadu, Tiruchirappalli, India

International Journal of Asian Business and Information Management (IJABIM), 2012, vol. 3, issue 4, 7-24

Abstract: 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.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jabim.2012100102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jabim0:v:3:y:2012:i:4:p:7-24

Access Statistics for this article

International Journal of Asian Business and Information Management (IJABIM) is currently edited by Patricia Ordóñez de Pablos

More articles in International Journal of Asian Business and Information Management (IJABIM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().