A Novel approach to Intelligent Semantic Web Search Engine

Authors(2) :-Jenne Hari, M. Kusuma

Web crawlers are outline for to scan specific data for a huge database that is from World Wide Web. There are loads of web crawlers accessible. Google, yippee, Bing are the web crawlers which are most generally utilized web indexes in today. The fundamental target of any web indexes is to furnish specific or required data with least time. The semantics web search tools are the following rendition of customary web crawlers. The fundamental issue of conventional web indexes is that data recovery from the database is troublesome or takes long time. Henceforth productivity of web search tools is diminished. To conquer this clever semantic web search tools are presented. The principle focus of semantic web crawlers is to give the required data inside little time with high exactness. Numerous web crawlers will give come about because of online journals or different sites. The client can not have a trust on the outcomes on the grounds that the data on online journals or sites is does not really evident. For this reason we utilize xml meta-labels and its highlights .The xml page will contain worked in and client characterized labels. The metadata data of the pages anticipated from this XML into asset portrayal system (RDF).

Authors and Affiliations

Jenne Hari
Department of MCA Emerald's Advanced Institute of Management Studies, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
M. Kusuma
Assistant Professor, Department of MCA, Emerald's Advanced Institute of Management Studies Tirupati, Andhra Pradesh, India

Intelligent Search, RDF, Semantic Web, XML.

  1. G.Sudeepthi1, G. Anuradha, Prof. M.Surendra Prasad Babu, “A Survey on Semantic Web Search Engine”, International Journal of Computer Science Issues, Vol. 9, Issue 2, No 1, March 2012.
  2. Ramprakash et al “Role of Search Engines in Intelligent Information Retrieval on Web”, Proceedings of the 2nd National Conference; INDIACom.
  3. R. Bekkerman and A. McCallum, “Disambiguating Web Appearances of People in a Social Network,” Proc. Int ?l World Wide Web Conf. (WWW ?05), pp. 463-470, 2005.
  4. G. Salton and M. McGill, Introduction to Modern Information Retrieval. McGraw-Hill Inc., 1986.
  5. F. Manola, E. Miller, and B. McBride, RDF primer. W3C recommendation, Vol. 10, No., 2004.
  6. Berners-Lee, T., Hendler, J. and Lassila, O. “The Semantic Web”, Scientific American, May 2001.
  7. Deborah L. McGuinness. “Ontologies Come of Age”. In Dieter Fensel, Jim Hendler, Henry Lieberman, and Wolfgang Wahlster, editors. Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential. MIT Press, 2002.

Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 325-329
Manuscript Number : CSEIT1833321
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jenne Hari, M. Kusuma, "A Novel approach to Intelligent Semantic Web Search Engine", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.325-329, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833321

Article Preview