Context-aware meta search engine for distributed web service Abawajy, Jemal, Khayyam, Hamid and Kim, Taihoonn 2012, Context-aware meta search engine for distributed web service, in CCA 2012 : Computer and applications : Proceedings of the 2012 International Conference on Computer Applications, Science & Engineering Research Support Centre, (SERSC), Seoul, South Korea, pp. 155-155. Attached Files Name Description MIMEType Size Downloads abawajy-contextaware-2012.pdf Published version application/pdf 90.25KB 63 Title Context-aware meta search engine for distributed web service Author(s) Abawajy, Jemal orcid.org/0000-0001-8962-1222 Khayyam, Hamid Kim, Taihoonn Conference name Computer and Applications. Conference (2012 : Seoul, South Korea) Conference location Seoul, South Korea Conference dates 30-31 Mar. 2012 Title of proceedings CCA 2012 : Computer and applications : Proceedings of the 2012 International Conference on Computer Applications Editor(s) [Unknown] Publication date 2012 Conference series Computer and Applications. Conference Start page 155 End page 155 Total pages 1 Publisher Science & Engineering Research Support Centre, (SERSC) Place of publication Seoul, South Korea Summary The ubiquity of the Internet and Web has led to the emergency of several Web search engines with varying capabilities. A weakness of existing search engines is the very extensive amount of hits that they can produce. Moreover, only a small number of web users actually know how to utilize the true power of Web search engines. Therefore, there is a need for searching infrastructure to help ease and guide the searching efforts of web users toward their desired objectives. In this paper, we propose a context-based meta-search engine and discuss its implementation on top of the actual Google.com search engine. The proposed meta-search engine benefits the user the most when the user does not know what exact document he or she is looking for. Comparison of the context-based meta-search engine with both Google and Guided Google shows that the results returned by context-based meta-search engine is much more intuitive and accurate than the results returned by both Google and Guided Google. Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E3 Extract of paper Copyright notice ©2012, SERSC Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30049226 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 01 Nov 2012, 13:12:02 EST Mon, 10 Dec 2012, 10:52:03 EST Mon, 10 Dec 2012, 10:52:38 EST Fri, 03 May 2013, 16:22:36 EST Fri, 03 May 2013, 16:23:10 EST Mon, 06 May 2013, 08:43:52 EST Fri, 02 Aug 2013, 10:02:44 EST Wed, 07 Aug 2013, 08:44:52 EST Wed, 27 Aug 2014, 23:12:24 EST Tue, 06 Sep 2016, 20:03:43 EST Tue, 05 Dec 2017, 12:37:50 EST Fri, 07 Sep 2018, 16:18:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 202 Abstract Views, 64 File Downloads  -  Detailed Statistics Created: Thu, 01 Nov 2012, 13:12:02 EST