Vector Space Model for Arabic Information Retrieval - Application to "Hadith" Indexing

被引:0
|
作者
Harrag, Fouzi [1 ]
Hamdi-Cherif, Aboubekeur [2 ]
El-Qawasmeh, Eyas [3 ]
机构
[1] UFAS Univ, Dept Comp Sci, Setif, Algeria
[2] Qassim Univ, Coll Comp, Burayah, Saudi Arabia
[3] JUST Univ, Dept Comp Sci, Irbid, Jordan
关键词
Text Mining; Information Retrieval; TFIDF Weighting; UML; Arabic Language Processing;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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-Qur'an- The Reading par Excellence - and "Hadith " - Saying - represent the two fundamental scriptural sources of Islamic Legislation. Specifically, "Hadith ", 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 "Hadith " databases to 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 "Hadiths" classified according to their degrees of similarity based on a given user's query.
引用
收藏
页码:114 / +
页数:2
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