International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 44 - Issue 13 |
Published: April 2012 |
Authors: Mohammed Q. Shatnawi, Qusai Q. Abuein, Omar Darwish |
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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.