|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 44 - Issue 13 |
| Published: April 2012 |
| Authors: Mohammed Q. Shatnawi, Qusai Q. Abuein, Omar Darwish |
10.5120/6327-8680
|
Mohammed Q. Shatnawi, Qusai Q. Abuein, Omar Darwish . Verifying Hadith Correctness in Islamic Web Pages using Information Retrieval Techniques. International Journal of Computer Applications. 44, 13 (April 2012), 47-50. DOI=10.5120/6327-8680
@article{ 10.5120/6327-8680,
author = { Mohammed Q. Shatnawi,Qusai Q. Abuein,Omar Darwish },
title = { Verifying Hadith Correctness in Islamic Web Pages using Information Retrieval Techniques },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 44 },
number = { 13 },
pages = { 47-50 },
doi = { 10.5120/6327-8680 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Mohammed Q. Shatnawi
%A Qusai Q. Abuein
%A Omar Darwish
%T Verifying Hadith Correctness in Islamic Web Pages using Information Retrieval Techniques%T
%J International Journal of Computer Applications
%V 44
%N 13
%P 47-50
%R 10.5120/6327-8680
%I Foundation of Computer Science (FCS), NY, USA
Certain types of web information need to be verified for correctness once being posted on the web (i. e. the information has a reference that cannot be tampered with). Such these types of information need systems in order to verify and assure their correctness. "The Hadith"; which is the sayings of Prophet Mohammad is an example of these types of information. Hadith in Islam is a very important tool to understand Qur'an, and in matter of Islamic law. This paper presents a reliable method to extract Hadith text from web pages, in order to find out the degree of correctness for each one; by looking it up in Sheikh Al- Albani Hadith Database (correct series and weak series) which contains 17000+Hadeeth texts and their degrees of correctness according to Sheikh Al-Albani studies. The proposed approach uses positional index built over the Sheikh Al-Albani Hadith Database (SAHDB) and extracts Hadith terms as queries from the passed web page, and execute these queries over SAHDB index.