An Ontology Based Meta-Search Engine for Effective Web Page Retrieval


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Searching on the web using Search engines such as Google, Bing, Ask have become an extremely common way of locating information. Searches are factorized by using either term or keyword sequentially or through short sentences. In order to make the searching more specific on certain information met-search engines are used, since the searches using meta- search engine are customizable. Meta search engines provide a uniform query interface for Internet users to search for information from the Web.  In this paper, a method for search engine is described which deals with the composition of search results from different search engines under specific criteria. The main feature of the proposed approach is concept extraction from the web documents with the help of WordNet ontology. The proposed approach identifies three attributes and defines three matrices one each for the three attributes of the method. The matrix is a concept matrix, which contains the set of concept extracted from the web documents. The second matrix is a title matrix for the title tags of the web and finally a vector matrix is defined for the multiple words that combined to form a concept. The evaluation of the proposed approach is based on the evaluation factor TREC Style Average Prevision at cutoff N (TSAP/N). The highest value of TSAP is shown by the concept computer science, having listed a TSAP value of 0.90 at N value 10.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Meta-Search Engine; Ontology; Sequential Keyword

Full Text:

PDF


References


S. Brin and L. Page., “The anatomy of a large-scale hyper textual Web search engine,” Computer Networks and ISDN Systems, 30(1–7), pp.107–117, 1998.

Juan Tang, Ya-Jun Du, Ke-Liang Wang, “Design and Implement of personalize Meta-Search Engine Based on FCA,” Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 19-22 August 2007.

K.Satya Sai Prakash, S. V. Raghavan, "DLAPANGSE: Distributed Intelligent Agent based Parallel Architecture for Next Generation Search Engines", Department of Computer Science & Engineering, Indian Institute of Technology Madras, India, 2001.

Z. Li, Y. Wang.V. Oria, "A New Architecture for Web Meta-Search Engines," Seventh Americas Conference on Information Systems, CIS Department, New Jercy Institute of Technology, 2001.

A. Araus, et. al., "Searching the Web", ACM Transactions on Internet Technology, Vol. 1, August 2001, pp: 243.

J. W. Green, "Hyper Dog: Up to Date Web Monitoring tirough Meta Computers", MS Report, Baltimore, Maryland, October 2000.

S. Lawrence, L. Giles, "Searching the World Wide Web", Science, VOL. 280, No. 5360, April 1998, pp: 98-100.

W. May, G. Lausen, "Information Extraction from the Web", TR. No. 136, Institute for Informatic, Albert-Ludwings University, Germany, March 2000.

M. Kobayashi, K. Takeda, "Information Retrieval on the Web", ACM Computing Surveys, Vol. 32, Issue 2, June 2000, pp: 144-173.

5. Br, L. Page, "The Anatomy of large Scale HyperTextual Web Search Engine", URL: "www7.scu.edu.au/programme/fullpapers/192 1/comlO21.htm". Visited at 2004.

Talim et al, ”Controlling the Robots of Web Search Engines", Proceedings of ACM SIGMETRICS 2001, pp: 236-244.

V. Gupta, RI Campbell, "'Internet Search Engine Freshness by Web Server Help", TR-UIUCDCS-R-2000-2153, Digital Computer Library.

J. Barker, "Meta-Search Engines", Teaching Library Intemet Workshops University of California, Berkeley, April 2000.

B. Grossan, "Search Engines: What they are, How they work, and Practical Suggestions for Getting the most out of them", February, 1997, “http:llwww.webreference.com/content/search".

M. Henzinger, "Web Information Retrieval", 16"' International Conference on Data Engineering, IEEE Computer Society, San Diego, CA, USA, Februay 29-March 3, 2000.

A. Kingoff, "Comparing Intemet Search Engines", Computer (30:4), April 1997, pp.1 17-118.

G.S.Goldsmidt, "Distributed Management by Delegation," Ph.D. Thesis, Columbia University, 1996.

Abawajy, J.H., Hu, M.J.,"A new Internet meta-search engine and implementation,” The 3rd ACS/IEEE International Conference on Computer Systems and Applications, 2005.

Meng Weiyi, Yu Clement, Liu King-Lup. Building Efficient and Effective Meta search Engines. ACM Computing Surveys, Vol. 34, no.1, pp.48-89, 2002.

Zhijun Zhang P, Yunqing Li, “ Research and Implementation of the Personalized Meta Search Engine based on Ontology,” 1st IEEE Symposium on Web Society, 2009.

Mohammad Ali Ghaderi, Nasser Yazdani, Behzad Moshiri, “A Social Network-based Meta Search Engine,”5th International Symposium on Telecommunications (IST'2010), 2010.

LI Guang-mingGENG Wen-juan, “Research and Design of Meta-search Engine Oriented Specialty,” International Symposium on Intelligence Information Processing and Trusted Computing, 2010.

Vishwas Raval and Padam Kumar, “EGG (Enhanced Guided Google) - A Meta Search Engine for Combinatorial Keyword Search,” Institute of Technology, Nirma University, Ahmedabad –382 481, 08-10 December, 2011.

Brijesh kumar Chaurasia,Shashi Kant Gupta,Rishi Soni, ”Meta search engine based on prioritizor,” International conference on computational intelligence and communication systems,2011.

Boo Vooi Keong, Patricia Anthony, “Meta Search Engine Powered by DBpedia,” International Conference on Semantic Technology and Information Retrieval, 2011.

Linjun Yang , Alan Hanjalic, “Prototype-Based Image Search Reranking,” IEEE Transactions On Multimedia, Vol. 14, No. 3, June 2012.

Kumar. P. " SEReleC (Search Engine Result Refinement and Classification) - a Meta search engine based on combinatorial search and search keyword based link classification", International Conference on Advances in Engineering Science and Management, pp: 627-631, 2012

Akhlaghian. F, Moradi. P, "A Multi-Agent Based Personalized Meta-Search Engine Using Automatic Fuzzy Concept Networks", Third International Conference on Knowledge Discovery and Data Mining, pp: 208-211, 2010.

Yiyao Lu, Weiyi Meng, Liangcai Shu, Clement Yu, King-Lup Liu, "Evaluation of Result Merging Strategies for Metasearch Engines", in Proceedings of the 6th international conference on Web Information Systems Engineering, pp. 53-66 , 2005.

Wu, H.-C., Chen, T., Web page mining for enhancing the convenience of cross group-buying, (2010) International Review on Computers and Software (IRECOS), 5 (3), pp. 291-297.

Loupis, M.I., Kavadias, C., Papanikolaou, N.P., A Component Repository and Search Engine tool for SME software re-users, (2012) International Review on Computers and Software (IRECOS), 7 (5), pp. 2139-2148.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize