DocumentCode
3255485
Title
Vector space model for Arabic information retrieval — application to “Hadith” indexing
Author
Harrag, Fouzi ; Hamdi-Cherif, Aboubekeur ; El-Qawasmeh, Eyas
Author_Institution
Comput. Sci. Dept, UFAS Univ., Setif
fYear
2008
fDate
4-6 Aug. 2008
Firstpage
107
Lastpage
112
Abstract
The Arabic language is one of the most important languages because it is the sacred and liturgical language of Islam, one of the influential monotheistic religions of our times. In the post-9/11 aftermath, Islam suddenly dominated western actuality for the remaining years of the present decade. Al-Qurpsilaan - The Reading par Excellence - and ldquoHadithrdquo - Saying - represent the two fundamental scriptural sources of Islamic Legislation. Specifically, ldquoHadithrdquo, or Prophetic Traditions, are sayings and doings of the Prophet of Islam (Peace and Blessings be upon Him). Researchers need automatic search tools within large ldquoHadithrdquo databasesto access one of the original sources of Islam. For this purpose, we describe the development of AuthenTique, an updated automatic text mining search tool, based on the vector space model (VSM). The aim is to allow the provision of a list of ldquoHadithsrdquo classified according to their degrees of similarity based on a given userpsilas query.
Keywords
data mining; humanities; indexing; information retrieval; text analysis; Al-Qurpsilaan; Arabic information retrieval; Hadith indexing; Islamic legislation; prophetic traditions; updated automatic text mining search tool; vector space model; Application software; Authentication; Computer science; Databases; Educational institutions; Indexing; Information retrieval; Legislation; Text mining; Unified modeling language; Arabic Language Processing; Information Retrieval; TFIDF Weighting; Text Mining; UML;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Digital Information and Web Technologies, 2008. ICADIWT 2008. First International Conference on the
Conference_Location
Ostrava
Print_ISBN
978-1-4244-2623-2
Electronic_ISBN
978-1-4244-2624-9
Type
conf
DOI
10.1109/ICADIWT.2008.4664328
Filename
4664328
Link To Document