Developed Taxonomy for Information Retrieval Systems Based on Arabic Language
Mohamed Abdelhadi1, Tiruveedula Gopi Krishna2, Ghassan Kanann3
1Mohamed Abdelhadi, Computer Department, Sirt University, Faculty of Arts and Science, Hoon, Al-jufra, Libya.
2Tiruveedula Gopi Krishna, Computer Department, Sirt University, Faculty of Arts and Science, Hoon, Al-jufra, Libya. Ghassan Kanann, Prof.
3Dr. Ghassan Kanann, Yarmouk University at Irbed in Jordan
Manuscript received on December 08, 2014. | Revised Manuscript received on December 15, 2014. | Manuscript published on January 05, 2014. | PP: 135-137 | Volume-3 Issue-6, January 2014. | Retrieval Number: F2025013614/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research has introduced a fully developed Taxonomy for Information Retrieval System based on Arabic Language; and also studied the rationale behind Information Retrieval from Arabic Linguistics with respect to new prospective for Arabic-IRs in such well-done Data organization. It has indeed led to an improved computational framework as well as provided excellent solutions for Arabic-IR system by means of emerging both Arabic Linguistics and Information Retrieval Systems.
Keywords: Arabic Language, Information Retrieval Systems, Knowledge Management Systems.