Abstract  Arabic language is one of the most widely spoken l anguages. This language has a complex morphological  structure  and  is  considered  as  one  of  the  most  prolific  langu ages  in  terms  of  article  linguistic.  Therefore,  Arabic  Information  Retrieval  (AIR)  models  need  specific  techniques  to  deal  with  this  complex  morphological  structure.  This  paper  ai ms  to  develop  an  integrate  AIR  frameworks.  It  lists  and  analysis  the   different  Information  Retrieval  (IR)  methods  and  t echniques  such  as query  processing, stemming and indexing which are used in  AIR systems. We conclude that AIR frameworks have  a weakness to deal  with semantic in term of indexing, Boolean model, L atent Semantic Analysis (LSA), Latent Semantic Inde x (LSI) and semantic  ranking.  Therefore,  semantic  Boolean  IR  framework  i s  proposed  in  this  paper.  This  model  is  implemented  and  the  precision,  recall and run time are measured and compared with  the traditional IR model.   

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[21] Vrandecic D., Ontology Evaluation, available at: www.aifb.kit.edu/ images/ b/ b5/ Ontology Evaluation.pdf, last visited 2010. Emad Elabd PhD Assistant professor, Department of Information Systems, Menoufia University, Egypt. He got his PhD in the field of Web services compliance over high level specifications at LIRIS, University Lyon1, France, 2011. He received bachelor s degrees in Electronic Engineering from Menoufia University, Egypt where he did his master s studies in computer science als o. His research interests include Web services modelin g and analysis with access control and time aspects, Web services (specification, composition), Semantic Web , and Information retrieval. Eissa Alshari Master student at Menoufia University, Egypt. He works as a teaching assistant in Center of Computer Sciences and Information Systems Ibb University, Yemen. His main research interest is in information retrieval technologies. He received his BSc in computer science from the national University, Yemen. Hatem AbdullKader obtained his BS and MSC degrees, both in electrical engineering from the Alexandria University, Faculty of Engineering, Egypt, 1990 and 1995, respectively. He obtained his PhD degree in electrical engineering also from Faculty of Engineering, Alexandria University, Faculty of Engineering, Egypt in 2001. His areas of interest are data security, Web applications and artificial intelligence, and he is specialized in n eural networks. He is currently associate professor in th e Information Systems Department, Faculty of Computers and Information, Menoufia University, Egypt, since 2004.