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Reseach Article

A Novel Architecture of Ontology-based Semantic Web Crawler

by Ram Kumar Rana, Nidhi Tyagi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 18
Year of Publication: 2012
Authors: Ram Kumar Rana, Nidhi Tyagi
10.5120/6365-8724

Ram Kumar Rana, Nidhi Tyagi . A Novel Architecture of Ontology-based Semantic Web Crawler. International Journal of Computer Applications. 44, 18 ( April 2012), 31-36. DOI=10.5120/6365-8724

@article{ 10.5120/6365-8724,
author = { Ram Kumar Rana, Nidhi Tyagi },
title = { A Novel Architecture of Ontology-based Semantic Web Crawler },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 18 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number18/6365-8724/ },
doi = { 10.5120/6365-8724 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:53.963081+05:30
%A Ram Kumar Rana
%A Nidhi Tyagi
%T A Novel Architecture of Ontology-based Semantic Web Crawler
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 18
%P 31-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Finding meaningful information among the billions of information resources on the Web is a difficult task due to growing popularity of the Internet. The future of World Wide Web (WWW) is the Semantic Web, where ontologies are used to assign (agreed) meaning to the content of the Web. On the Semantic Web, data will inevitably be linked to many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings between them. As the resources on the Semantic Web are annotated using these ontologies, new search techniques are required to find specific information. For this, architecture has been proposed for ontology based semantic web crawler. This architecture can exploit the semantic metadata to efficiently discover and extract information from the Semantic Web. In this paper Semantic matching between content of downloaded web page and ontology is used to guide the crawler towards relevant information.

References
  1. C. C. Aggarwal, F. Al-Garawi, and P. S. Yu, "Intelligent crawling on the world wide web with arbitrary predicates," in World Wide Web, 2001, pp. 96–105. . Available: iteseer. ist. psu. edu/aggarwal01intelligent. html.
  2. M. Ehrig and A. Maedche, "Ontology-focused crawling of web documents," in Proc. of the Symposium on Applied Computing, March,Florida, USA, 2003.
  3. V. H. Tuulos, "Design and Implementation of a Content-Based Search Engine", http://www. cs. helsinki. fi/u/tuulos/tuulos-thesis. pdf, (retrieved may 2008),2007.
  4. Debajyoti, Arup Biswas, Sukanta "A New Approach to Design Domain Specific Ontology Based Web Crawler", 10th International Conference on Information Technology – 2007 IEEE.
  5. W3C. (2011). Resource Description Framework (RDF). http://www. w3. org/RDF/.
  6. Nigel Shadbolt , Wendey hall, Tim Berners-Lee "the semantic web revisited" . IEEE intelligent system(2006).
  7. Tim Berners-Lee, James Hendler, and Ora Lassila. The semantic web. Scientific American, 284(5):34{43, 2001.
  8. Thomas R. Gruber, A translation approach to portable ontology specifications, KnowledgeAcquisition 5 (1993), no. 2, 199–220.
  9. J. Euzenat and P. Shvaiko. Ontology matching. Springer, 2007.
  10. L. P. Junghoo Cho, Hector Garcia-Molina, "Efficient crawling through URL ordering," Stanford University, 1998.
  11. Q. Xu and W. Zuo, "First-order focused crawling," in WWW '07:Proceedings of the 16th international conference on World Wide Web, pp. 1159–1160, 2007.
  12. M. Yuvarani, N. Ch. S. N. Iyengar, A. Kannan, "LSCrawler: A Framework for an Enhanced Focused Web Crawler based on Link Semantics". Paper presented at International Conference on Web Intelligence (IEEE/WIC/ACM), 2006 pp 794-800
  13. M. Bianchini, M. Gori, and F. Scarselli. Inside PageRank. ACM Transactions on Internet Technology, 2003.
  14. L. Page, S. Brin, R. Motwani, T. Winograd. "The PageRank Citation Ranking: Bringing Order to the Web", Stanford Digital Library Technologies Project.
  15. M. Ehrig and A. Maedche, "Ontology-focused crawling of web documents," in Proc. of the Symposium on Applied Computing, March,Florida, USA, 2003.
  16. L. Ding, T. Finin, A. Joshi, R. Pan, R. S. Cost, Y. Peng, P. Reddivari, V. C. Doshi, and J. Sachs. "Swoogle: A semantic web search and metadata engine for the semantic web". In Proc. 13th ACM Conf. on Information and Knowledge Management, Nov. 2004.
  17. Leigh Dodds Slug: A Semantic Web Crawler 2006. http://www. ldodds. com/projects/slug/slug-a-semantic-web-crawler. pdf
  18. Michael K. Smith, Chris Welty, and Deborah L. McGuinness, Editors, W3C Recommendation, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Ontology Semantic Web Crawler