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Reseach Article

Ontological Paradigm for Focused Crawling based on Lexical Analysis

by Nidhi Sharma, Atul Srivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 6
Year of Publication: 2013
Authors: Nidhi Sharma, Atul Srivastava
10.5120/10086-4715

Nidhi Sharma, Atul Srivastava . Ontological Paradigm for Focused Crawling based on Lexical Analysis. International Journal of Computer Applications. 62, 6 ( January 2013), 32-36. DOI=10.5120/10086-4715

@article{ 10.5120/10086-4715,
author = { Nidhi Sharma, Atul Srivastava },
title = { Ontological Paradigm for Focused Crawling based on Lexical Analysis },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 6 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number6/10086-4715/ },
doi = { 10.5120/10086-4715 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:02.912352+05:30
%A Nidhi Sharma
%A Atul Srivastava
%T Ontological Paradigm for Focused Crawling based on Lexical Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 6
%P 32-36
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The semantic web is a synergetic movement led by International standards body, the WWW Consortium (W3C). It aims at converting the current web dominated by unstructured and semi structured documents into a "web of data". Here two techniques of semantic web crawling are reviewed, one is ontology based and other is based on Lexical database . For this, architecture has been proposed which is a combination of above two techniques. The future of WWW is semantic web where Ontology and Lexical database are used for effective and fast searching by the web crawler. It is used for Information retrieval and question answering system. Ontology is a formal designation of shared approach it is basically approach of entities and their attributes.

References
  1. John, Tony (March 15, 2012). "What is Semantic Search?". Techulator. Retrieved July 13, 2012
  2. 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.
  3. M. Ehrig and A. Maedche, "Ontology-focused crawling of web documents," in Proc. of the Symposium on Applied Computing, March,Florida, USA, 2003.
  4. Tim Berners-Lee, James Hendler, and Ora Lassila. The semantic web. Scientific American, 284(5):34{43, 2001.
  5. Varelas, G. , Voutsakis, E. , Raftopoulou, P. , Petrakis, E. G. M. , Milios, E. "Semantic Similarity" International Journal on Semantic Web and Information Systems (IJSWIS) .
  6. Debajyoti, Arup Biswas, Sukanta "A New Approach to Design Domain Specific Ontology Based Web Crawler", 10th International Conference on Information Technology – 2007 IEEE.
  7. Fabian M. Suchanek , Gjergji Kasneci, and Gerhard Weikum. 2007. Yago: a core of semantic knowledge. In Proceedings of the 16th international conference on World Wide Web (WWW '07).
  8. Miller, G. A. "WordNet : A Lexical Database for English," Communications of the ACM (Vol. 38, No. 11), 1995, pp. 39-41.
  9. Fellbaum, C. WordNet: An Electronic Lexical Database, Cambridge, MA: MIT, 1998.
  10. Liu, H. & Singh, P. (2004) ConceptNet: A Practical Commonsense Reasoning Toolkit. BT Technology Journal, To Appear. Volume 22, forthcoming issue. Kluwer Academic Publishers.
  11. Methods in "Word Net and their Application to Information Retrieval on the Web" 7th ACM
  12. J. Lu, L. Ma, L. Zhang, C. Wang, Y. Pan, and Y. Yu, SOR: a practical system for Ontology storage, reasoning and search
  13. Wu X. and Palmer M. : Web semantics and lexical selection. In the 32nd ACL Meeting, (1994)
  14. Semantic Similarity" International Journal on Semantic Web and Information Systems (IJSWIS) .
  15. Special Issue of Multimedia Semantics, 2006, Vol. 3 July/September, No. 3, pp. 55-73.
  16. J. Han and M. Kamber, Data Mining: Concepts and Techniques 2nd Edition (Morgan Kaufmann, San Francisco, CA, 2006) 616-617.
  17. Precision and Recall (2009). Available at: http://en. wikipedia. org/wiki/Precision_and_recall (accessed 25 June 2009).
Index Terms

Computer Science
Information Sciences

Keywords

Crawler Semantic web Ontology Lexical database