• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Apr 02, 2019 News!The papers published in Vol.7, No.3-No.4 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(6): 562-566 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.227

Comparative Analysis of Semantic Search Engines Based on Requirement Space Pyramid

Maliha Majid Qureshi, Bibi Asma, and Hikmat Ullah Khan
Abstract—Semantic Web promises to add metadata to web content to make it understandable to computers. Search is the most widely used activity on web. Semantic search engines have already changed the way we search the data on web. Uren. V, Yuanguilei Uren et al., proposed requirement space pyramid arguing that iterative and exploratory search modes are important to the usability of search engines. It identified the types of semantic queries the users need to make, the issues concerning the search development and the problems intrinsic to semantic search in particular. We have extensively examined the semantic search engines and have done broad survey to analyse the semantic search engines. Comparative analysis of the semantic search engines have been done on the basis of factors cited in the pyramid. The research provides deep understanding of five main semantic search engines based on comparative analysis that may help for future work for semantic web in general and for semantic search engines in particular.

Index Terms—Semantic web, semantic search engine, requirement space pyramid.

The authors are with the Department of Computer Science, COMSATS Institute of Information Technology, Attock, Pakistan (e-mail: Hikmatullah@comsats.edu.pk, maliha_red@hotmail.com, asmaasmi@live.com).


Cite:Maliha Majid Qureshi, Bibi Asma, and Hikmat Ullah Khan, "Comparative Analysis of Semantic Search Engines Based on Requirement Space Pyramid," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 562-566, 2013.

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