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Comparative Study on Semantic Search Engines

by Ranjna Jain, Neelam Duhan, A.K. Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 14
Year of Publication: 2015
Authors: Ranjna Jain, Neelam Duhan, A.K. Sharma
10.5120/ijca2015907370

Ranjna Jain, Neelam Duhan, A.K. Sharma . Comparative Study on Semantic Search Engines. International Journal of Computer Applications. 131, 14 ( December 2015), 4-11. DOI=10.5120/ijca2015907370

@article{ 10.5120/ijca2015907370,
author = { Ranjna Jain, Neelam Duhan, A.K. Sharma },
title = { Comparative Study on Semantic Search Engines },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 14 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 4-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number14/23515-2015907370/ },
doi = { 10.5120/ijca2015907370 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:19.631093+05:30
%A Ranjna Jain
%A Neelam Duhan
%A A.K. Sharma
%T Comparative Study on Semantic Search Engines
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 14
%P 4-11
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Current World Wide Web also recognized as Web 2.0 is an immense library of interlinked documents that are transferred by computers and presented to people. Search engine is considered the most important tool to discover any information from WWW. Inspite of having lots of development and novel research in current search engines techniques, they are still syntactic in nature and display search results on the basis of keyword matching without understanding the meaning of query, resulting in the production of list of WebPages containing a large number of irrelevant documents as an output. Semantic Web (Web 3.0), the next version of World Wide Web is being developed with the aim to reduce the problem faced in Web 2.0 by representing data in structured form and to discover such data from Semantic Web, Semantic Search Engines (SSE) are being developed in many domains. This paper provides a survey on some of the prevalent SSEs focusing on their architecture; and presents a comparative study on the basis of technique they follow for crawling, reasoning, indexing, ranking etc.

References
  1. Swoogle Search Engine available at: http://swoogle.umbc.edu/
  2. Comparision between phases of world Wide Web available at: http://ahmedyassen.xomba.com/web-1.0-web-2.0-web-3.0-and-web-4.0-review.html
  3. S. Brin, L. Page, The Anatomy of a Large-Scale Hypertextual Web Search Engine, Computer Networks 30 (1-7) (1998)
  4. Web Directory available at: http://en.wikipedia.org/wiki/Web_directory
  5. Meta-Search engine available at: http://en.wikipedia.org/wiki/Metasearch_engineYou +1'd this publicly. Undo
  6. Berners-Lee T., Hendler J. and Lassila O. The Semantic Web. The Scientific American, vol. 5(1) 2001. URL:http://www.scientificamerican.com/
  7. Patel-Schneider P.F. and Fensel D. Layering the Semantic Web: Problems and Directions. In Proceedings of The Semantic Web - ISWC 2002: First International Semantic Web Conference, Sardinia, Italy, vol. 2342 / 2002. springer-Verlag GmbH 2002, p. 16.
  8. Ora Lassila, ralph R. Swick, Resource Description Framework(RDF) model and syntax specification, February 1999, www.w3.org/tr/rec-rdf-syntax-199990222.
  9. Li Ding Tim Finin Anupam Joshi Rong Pan R. Scott Cost Yun Peng Pavan Reddivari Vishal Doshi Joel Sachs Swoogle: A Semantic Web Search and Metadata Engine. ACM Press 2004.ppp. 652-659
  10. Cheng, G., Ge, W., Wu, H., Qu, Y.: Searching Semantic Web Objects Based on Class Hierarchies. In: Bizer, C., Heath, T., Idehen, K., Berners-Lee, T. (eds.) LDOW 2008. CEUR-WS, vol. 369. CEUR-WS.org (2008)-researchgate.net
  11. Y.Qu, G.cheng,H.Wu, W.Ge, X,Zhang, Seeking Knowledge with Falcon, Semantic web Challenges.
  12. http://company.hakia.com/new/documents/White%20Paper_Semantic_Search_Technology.pdf
  13. Aidan Hogan, Andreas Harth , Jurgen Umbrich , Sheila Kinsella , Axel Polleres , Stefan Decker, Searching and Browsing Linked Data with SWSE: the Semantic Web Search Engine. Journal of Web Semantics, Vol 9 no.4 (2011)
  14. Services provided by falcon available at: http://iws.seu.edu.cn/services/falcons/
  15. T. Berners-Lee, Linked Data, Design issues for the World Wide Web,World WideWeb Consortium, http: /www.w3.org/DesignIssues/LinkedData.html (2006).
  16. Hai Dong, Farookh Khadeer Hussain, Elizabeth Chang,A Survey in Semantic Search Technologies, , 2008 Second IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2008)© 2008 IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Web 2.0 Semantic Web Semantic Search Engines

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