Title of article :
A HYBRID APPROACH FOR INDEXING AND SEARCHING THE HOLY QURAN
Author/Authors :
tarawneh, monther yarmouk university - department of computer information systems, Irbid, Jordan , al-shawakfa, emad yarmouk university - department of computer information systems, Irbid, Jordan
Abstract :
Searching and retrieving information from the Holy Quran have recently received special attention by Muslim and Arab researchers. Many applications and websites offered to perform search through the Quran using keywords, semantic search or even both. Arabic; as the language of the Quran, is having a complex structure and thus the searching process of Arabic scripts is rather more difficult than English. In this paper, we propose a hybrid approach; using a combination of syntactic (keyword) and word semantics, to search through the Quran text. The Quran text was pre-processed and represented in a XML format. A system was implemented using Python, where the concept of regular expressions is used to test the approach with a Graphical User Interface used to manipulate user requests. Good and promising results from the approach were obtained.
Keywords :
Arabic NLP , IR , Quran , Keyword search , Semantic search.
Journal title :
Jordanian Journal Of Computers and Information Technology (Jjcit)
Journal title :
Jordanian Journal Of Computers and Information Technology (Jjcit)