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An essential framework for concept based evolutionary Quranic search engine (CEQSE).

Author(s)
Syed Ali Raza Department of Computer Science, GC University, Lahore, Pakistan
Muhammad Rehan Department of Computer Science, GC University, Lahore, Pakistan
Amjad Farooq Department of Computer Science, UET Lahore, Pakistan
S. M. Ahsan Department of Computer Science, UET Lahore, Pakistan
M. Saleem Khan Department of Computer Science, GC University, Lahore, Pakistan
Abstract
The Holy Quran has affected the lives of Muslim nation and it is among one of the most reading books. Despite the fact that the Quran is recited heavily overall on the globe yet there is less concentration on Quranic search. Currently available models exploit Keyword based searching. Currently available models exploit Keyword based searching which are not only less efficient as well as Keyword based searching techniques does not search Quranic concept accurately. This research paper, addresses the deficiencies of Keyword based searching and the issues related to semantic search in the Holy Quran, and propose a model that is capable of performing semantic search.
Publication Details
Page(s) 181-184
DOI DOI not available
Published Journal: Science International, Volume: 26, Issue: 1, Year: 2014

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