Asian Journal of Information Technology

Year: 2017
Volume: 16
Issue: 10
Page No. 754 - 770

Arabic Query Expansion: A Review

Authors : Jaffar Atwan and Masnizah Mohd


Abdelali, A., J. Cowie and H.S. Soliman, 2004. Arabic information retrieval perspectives. Proceedings of the 11th Conference on Natural Language Processing, Journes d’Etude sur la Parole-Traitement Automatique des Langues Naturelles (JEP-TALN’04), April 19-22, 2004, JEP-TALN, France, pp: 391-400.

Abdelali, A., J. Cowie and H.S. Soliman, 2007. Improving query precision using semantic expansion. Inf. Process. Manage., 43: 705-716.
Direct Link  |  

Abouenour, L. and K. Bouzouba and P. Rosso, 2010. An evaluated semantic query expansion and structure-based approach for enhancing Arabic question/answering. Int. J. Inform. Commun. Technol., 3: 37-51.
Direct Link  |  

Abouenour, L. and K. Bouzoubaa and P. Rosso, 2009. Structure-based evaluation of an arabic semantic query expansion using the JIRS passage retrieval system. Proceedings of the EACL 2009 Workshop on Computational Approaches to Semitic Languages, March 31, 2009, Athens, Greece, pp: 62-66.

Abouenour, L., 2011. On the Improvement of Passage Retrieval in Arabic Question/Answering (Q/A) Systems. In: Natural Language Processing and Information Systems, Munoz, R., A. Montoyo and E. Metais (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-22326-6, pp: 336.

Abouenour, L., K. Bouzoubaa and P. Rosso, 2008. Improving Q/A using Arabic wordnet. Proceedings of the 2008 International Arab Conference on Information Technology (ACIT'08), December 16-18, 2008, Sfax University Tunisia, North Africa, pp: 1-8.

Abu-Salem, H., M. Al-Omari and M.W. Evens, 1999. Stemming methodologies over individual query words for an Arabic information retrieval system. J. Assoc. Inf. Sci. Technol., 50: 524-529.
Direct Link  |  

Abusalah, M., J. Tait and M. Oakes, 2009. Cross language information retrieval using multilingual ontology as translation and query expansion base. Polibits, 40: 13-16.
Direct Link  |  

Ahmed, F. and A. Nurnberger, 2009. Evaluation of N‐gram conflation approaches for Arabic text retrieval. J. Assoc. Inf. Sci. Technol., 60: 1448-1465.
CrossRef  |  Direct Link  |  

Al-Ameed, H.K., S.O. Al-Ketbi, A.A. Al-Kaabi, K.S. Al-Shebli and N.F. Al-Shamsi et al., 2006. Arabic search engines improvement: A new approach using search key expansion derived from arabic synonyms structure. Proceedings of the IEEE International Conference on Computer Systems and Applications, March 8, 2006, IEEE, Dubai, UAE., ISBN:1-4244-0211-5, pp: 944-951.

Al-Eroud, A.F., M.A. Al-Ramahi, M.N. Al-Kabi, I.M. Alsmadi and E.M. Al-Shawakfa, 2011. Evaluating Google queries based on language preferences. J. Inf. Sci., 37: 282-292.
Direct Link  |  

Al-Fedaghi, S. and F. Al-Anzi, 1989. A new algorithm to generate Arabic root-pattern forms. Proceedings of the 11th National Computer Conference and Exhibition, NCCE'1989, Dhahran, Saudi Arabia, pp: 4-7.

Al-Kabi, M., H. Wahsheh, I. Alsmadi, E. Al-Shawakfa and A. Wahbeh et al., 2012. Content-based analysis to detect Arabic web spam. J. Inf. Sci., 38: 284-296.
Direct Link  |  

Al-Rajebah, N.I. and H.S. Al-Khalifa, 2014. Extracting ontologies from arabic wikipedia: A linguistic approach. Arabian J. Sci. Eng., 39: 2749-2771.
Direct Link  |  

Al-Rajebah, N.I., H.S. Al-Khalifa and A.S. Al-Salman, 2010. Building ontological models from Arabic Wikipedia: A proposed hybrid approach. Proceedings of the 12th International Conference on Information Integration and Web-based Applications and Services, November 8-10, 2010, ACM, Paris, France, pp: 899-902.

Al-Shammari, E. and J. Lin, 2008. A novel Arabic lemmatization algorithm. Proceedings of the 2nd Workshop on Analytics for Noisy Unstructured Text Data, July 24-24, Singapore, pp: 113-118.

Al-Shammari, E.T. and J. Lin, 2008. Towards an error-free Arabic stemming. Proceedings of the 2nd ACM Workshop on Improving non English Web Searching, October 30, 2008, ACM, California, USA., pp: 9-16.

Al-Shammari, E.T., 2013. Lemmatizing, stemming and query expansion method and system. US Patent No. 8,473,279, United States Patent and Trademark Office, Washington, DC., USA.

Albared, M., N. Omar and M.J.A. Aziz, 2009. Classifiers combination to Arabic morphosyntactic disambiguation. Proceeding of the International Conference on Electrical Engineering and Informatics, August 5-7, 2009, Selangor, Malaysia, pp: 163-171.

Aljlayl, M. and O. Frieder, 2002. On Arabic search: Improving the retrieval effectiveness via a light stemming approach. Proceedings of the 11th International Conference on Information and Knowledge Management, November 04-09, 2002, ACM, McLean, Virginia, ISBN:1-58113-492-4, pp: 340-347.

Alqudsi, A., N. Omar and K. Shaker, 2012. Arabic machine translation: A survey. Artif. Intell. Rev., 42: 549-572.
Direct Link  |  

Al‐Sughaiyer, I.A. and I.A. Al‐Kharashi, 2004. Arabic morphological analysis techniques: A comprehensive survey. J. Assoc. Inf. Sci. Technol., 55: 189-213.
CrossRef  |  Direct Link  |  

Arampatzis, A.T., T. Tsoris, C.H.A. Koster and T.P.V.D. Weide, 1998. Phase-based information retrieval. Inf. Process. Manage., 34: 693-707.
Direct Link  |  

Attar, R. and A.S. Fraenkel, 1977. Local feedback in full-text retrieval systems. J. ACM., 24: 397-417.
CrossRef  |  Direct Link  |  

Attia, M., 2006. An ambiguity-controlled morphological analyzer for modern standard Arabic modelling finite state networks. Proceedings of the Conference on Challenges of Arabic for NLP/MT Vol. 200610, October 23, 2006, British Computer Society, London, UK., pp: 48-67.

Atwan, J. and M. Mohd, 2012. Arabic information retrieval: A semantic query expansion technique. Proceedings of the 2nd National Doctoral Seminar on Artificial Intelligence Technology, November 19-20, 2012, UNITEN Residence Hotel, Selangor, Malaysia, pp: 19-25.

Atwan, J., M. Mohd and G. Kanaan, 2013. Enhanced Arabic Information Retrieval: Light Stemming and Stop Words. In: Soft Computing Applications and Intelligent Systems, Noah, S.A., A. Abdullah, H. Arshad, A.A. Bakar and Z.A. Othman et al. (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-40566-2, pp: 219-228.

Baeza-Yates, R. and B. Ribeiro-Neto, 1999. Modern Information Retrieval. Pearson, London, UK., ISBN:978-81-317-0977-1, Pages: 517.

Belkredim, F.Z. and F. Meziane, 2008. Dear-onto: A derivational Arabic ontology based on verbs. Intl. J. Comput. Process. Lang., 21: 279-291.
Direct Link  |  

Belkredim, F.Z., A. El-Sebai and U.H.B. Bouali, 2009. An ontology based formalism for the Arabic language using verbs and their derivatives. Commun. IBIMA., 11: 44-52.
Direct Link  |  

Bellare, K., P.P. Talukdar, G. Kumaran, F. Pereira and M. Liberman et al., 2007. Lightly-supervised attribute extraction. Proceedings of the NIPS 2007 Workshop on Machine Learning for Web Search Vol. 3, December 7, 2007, National Institute of Population Studies, Whistler, British Columbia, Canada, pp: 44-53.

Beseiso, M., A.R. Ahmad and R. Ismail, 2010. A survey of Arabic language support in semantic web. Intl. J. Comput. Appl., 9: 35-40.
Direct Link  |  

Bhogal, J., A. Macfarlane and P. Smith, 2007. A review of ontology based query expansion. Inform. Process. Manage., 43: 866-886.
CrossRef  |  

Carpineto, C. and G. Romano, 2012. A survey of automatic query expansion in information retrieval. ACM. Comput. Surv., 44: 1-1-1-50.
CrossRef  |  Direct Link  |  

Carpineto, C., G. Romano and V. Giannini, 2002. Improving retrieval feedback with multiple term-ranking function combination. ACM. Trans. Inf. Syst., 20: 259-290.
CrossRef  |  Direct Link  |  

Chinnakotla, M.K., K. Raman and P. Bhattacharyya, 2010. Multilingual pseudo-relevance feedback: Performance study of assisting languages. Proceedings of the 48th Annual Meeting on Association for Computational Linguistics, July 11-16, 2010, ACM, Uppsala, Sweden, pp: 1346-1356.

Croft, B., D. Metzler and T. Strohman, 2009. Search Engines: Information Retrieval in Practice. 1st Edn., Addison Wesley, London, UK., ISBN: 978-0136072249.

Darwish, K., 2002. Building a shallow Arabic morphological analyzer in one day. Proceedings of the ACL-02 workshop on Computational Approaches to Semitic Languages, (WCASL'2002), Philadelphia, Pennsylvania, pp: 1-8.

Dextre, C.S.G. and M.L. Zeng, 2012. From ISO 2788 to ISO 25964: The evolution of thesaurus standards towards interoperability and data modelling. Inf. Stand. Q., 24: 20-24.
Direct Link  |  

Diab, M. and N. Habash, 2007. Arabic dialect processing tutorial. Proceedings of the Conference on Human Language Technology NAACL, Companion Volume: Tutorial Abstracts, April 22-27, 2007, Association for Computational Linguistics, Vancouver, Canada, pp: 5-6.

Duwairi, R.M., 2006. Machine learning for Arabic text categorization. J. Am. Soc. Inform. Sci. Technol., 57: 1005-1010.
CrossRef  |  

Egozi, O., S. Markovitch and E. Gabrilovich, 2011. Concept-based information retrieval using explicit semantic analysis. ACM. Trans. Inf. Syst., 29: 8-1-8-34.
CrossRef  |  Direct Link  |  

El-Beltagy, S.R. and A. Rafea, 2011. An accuracy-enhanced light stemmer for Arabic text. ACM. Trans. Speech Lang. Process., 7: 2-1-2-22.
CrossRef  |  Direct Link  |  

El-Emary, I.M.M. and J. Atwan, 2005. Designing and building an automatic information retrieval system for handling the arabic data. Am. J. Applied Sci., 2: 1520-1525.
CrossRef  |  Direct Link  |  

El-Kourdi, M., A. Bensaid and T.E. Rachidi, 2004. Automatic Arabic document categorization based on the Naive Bayes algorithm. Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages, August 28, 2004, ACM, Geneva, Switzerland, pp: 51-58.

Elkateb, S., W. Black, H. Rodriguez, M. Alkhalifa, P. Vossen, A. Pease and C. Fellbaum, 2006. Building a WordNet for Arabic. Proceedings of The 5th International Conference on Language Resources and Evaluation, May 22-28, 2006, Genoa-Italy, pp: 29-34.

Farghaly, A. and K. Shaalan, 2009. Arabic natural language processing: challenges and solutions. ACM Trans. Asian Language Inform. Process. Assoc. Comput. Mach., 8: 1-22.
CrossRef  |  

Galvez, C., F.D. Moya-Anegon and V.H. Solana, 2005. Term conflation methods in information retrieval: Non-linguistic and linguistic approaches. J. Doc., 61: 520-547.
Direct Link  |  

Graff, D. and K. Walker, 2001. Arabic newswire part 1. Linguistic Data Consortium, Philadelphia, Pennsylvania.

Hammo, B., H. Abu-Salem, S. Lytinen and M. Evens, 2002. QARAB: A question answering system to support the Arabic language. Proceedings of the 40th Association for Computational Linguistics on Computational Approaches to Semetic Languages, (ACLCASL'2002), Pennsylvania, USA., pp: 55-65.

Hammo, B.H., 2009. Towards enhancing retrieval effectiveness of search engines for diacritisized Arabic documents. Inf. Retrieval, 12: 300-323.
Direct Link  |  

Harrag, F., A. Hamdi-Cherif, A.M.S. Al-Salman and E. El-Qawasmeh, 2009. Experiments in improvement of Arabic information retrieval. Proceedings of the 3rd International Conference on Arabic Language Processing (CITALA’09), May 4-5, 2009, IEEE, Rabat, Morocco, pp: 71-81.

Hoseini, M.A.S., 2011. Modeling the Arabic language through verb based ontology. Intl. J. Acad. Res., 3: 800-804.
Direct Link  |  

Jarrar, M., 2011. Building a formal Arabic ontology (invited paper). Proceedings of the Experts Meeting on Arabic Ontologies and Semantic Networks, July 26-28, 2011, Alecso, Tunis, Tunisia, pp: 1-11.

Joachims, T., 1996. A probabilistic analysis of the rocchio algorithm with TFIDF for text categorization. MCs Thesis, Defense Technical Information Center, Virginia, USA.

Jurafsky, D. and J.H. Martin, 2008. Speech and Language Processing: An Introduction to Speech Recognition, Computational Linguistics and Natural Language Processing. 2nd Edn., Prentice Hall, New York, pp: 1024.

Kamir, D., N. Soreq and Y. Neeman, 2002. A comprehensive NLP system for modern standard Arabic and modern Hebrew. Proceedings of the Workshop on Computational Approaches to Semitic Languages (ACL-02), July 11, 2002, ACM, Philadelphia, Pennsylvania, pp: 1-9.

Kanaan, G., R. Al-Shalabi, S. Ghwanmeh and B. Bani-Ismail, 2007. A comparison between interactive and automatic query expansion applied on arabic language. Proceedings of the 4th International Conference on Innovations in Information Technology, November 18-20, 2007, Dubai, pp: 466-470.

Khafajeh, H. and N. Yousef, 2013. Evaluation of different query expansion techniques by using different similarity measures in Arabic documents. Intl. J. Comput. Sci., 10: 160-166.
Direct Link  |  

Khafajeh, H., N. Yousef and G. Kanaan, 2010. Automatic query expansion for Arabic text retrieval based on association and similarity thesaurus. Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems (EMCIS’10), April 12, 2010, EMCIS, Abu Dhabi, UAE., pp: 1-17.

Khoja, S., 2001. APT: Arabic part-of-speech tagger. Proceedings of the Student Workshop at the Second Meeting of the North American Chapter of the Association for Computational Linguistics. Carnegie Mellon University, Pittsburgh, Pennsylvania. June 2001.

Larkey, L., L. Ballesteros and M. Connell, 2007. Light stemming for Arabic information retrieval. Arabic Comput. Morphol., 38: 221-243.
CrossRef  |  

Larkey, L.S. and M.E. Connell, 2002. Arabic information retrieval at UMass in TREC-10. Master Thesis, National Institute of Standards and Technology, Gaithersburg, Maryland.

Liu, S., 2006. Improve text retrieval effectiveness and robustness. Ph.D Thesis, University of Illinois at Chicago, Chicago, Illinois.

Lopis, F., J.L. Vicedo and A. Ferrandez, 2002. Passage selection to improve question answering. Proceedings of the 2002 Conference on Multilingual Summarization and Question Answering, August 31, 2002, Association for Computational Linguistics Stroudsburg, Pennsylvania, USA., pp: 1-6.

Manning, C.D., P. Raghavan and H. Schutze, 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK.,.

Menai, M.E.B. and W. Alsaeedan, 2012. Genetic algorithm for Arabic word sense disambiguation. Proceedings of the 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel and Distributed Computing (SNPD’12), August 8-10, 2012, IEEE, Kyoto, Japan, ISBN:978-1-4673-2120-4, pp: 195-200.

Mitra, M., A. Singhal and C. Buckley, 1998. Improving automatic query expansion. Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 24-28, 1998, ACM, Melbourne, Australia, ISBN:1-58113-015-5, pp: 206-214.

Moawad, I.F., M. Abdeen and M.M. Aref, 2010. Ontology-based architecture for an Arabic semantic search engine. Proceedings of the 10th Conference on Language Engineering, December 15-16, 2010, Egyptian Society of Language Engineering (ESOLE), Cairo, Egypt, pp: 67-73.

Navigli, R., 2009. Word sense disambiguation: A survey. ACM Comput. Surv., Vol. 41, No. 2. 10.1145/1459352.1459355

Nwesri, A., 2008. Effective retrieval techniques for Arabic text. Ph.D Thesis, RMIT University, Melbourne, Victoria.

Otair, M.A., G. Kanaan and R. Kanaan, 2013. Optimizing an Arabic query using comprehensive query expansion techniques. Int. J. Comput. Applic., 71: 42-49.

Paice, C.D., 1994. An evaluation method for stemming algorithms. Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul. 3-6, Dublin, Ireland, pp: 42-50.

Paice, C.D., 1996. Method for evaluation of stemming algorithms based on error counting. J. Assoc. Inf. Sci. Technol., 47: 632-649.
Direct Link  |  

Petrov, V., 2011. Ontological Landscapes: Recent Thought on Conceptual Interfaces Between Science and Philosophy. Walter de Gruyter, Berlin, Germany,.

Pinto, F.J. and C.F. Perez-Sanjulian, 2008. Automatic query expansion and word sense disambiguation with long and short queries using WordNet under vector model. Conf. Software Eng. Databases, 2: 17-23.
Direct Link  |  

Rachidi, T., M. Bouzoubaa, L. El-Mortaji, B. Boussouab and A. Bensaid, 2003. Arabic user search query correction and expansion. Proc. Copstic, 3: 11-13.
Direct Link  |  

Salton, G. and C. Buckley, 1997. Improving Retrieval Performance by Relevance Feedback. In: Readings in Information Retrieval, Jones, K.S. and P. Willett (Eds.). Morgan Kaufmann Publishers, Burlington, Massachusetts, pp: 355-363.

Savary, A. and C. Jacquemin, 2003. Reducing Information Variation in Text. In: Text- and Speech-Triggered Information Access, Renals, S. and G. Grefenstette (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-40635-8, pp: 145-181.

Shaalan, K., S. Al-Sheikh and F. Oroumchian, 2012. Query Expansion Based-on Similarity of Terms for Improving Arabic Information Retrieval. In: Intelligent Information Processing, Shi, Z., D. Leake and S. Vadera (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-32890-9, pp: 167-176.

Singhal, A., 2012. Introducing the knowledge graph: Things, not strings. Official Google Blog, New York, USA.

Soudi, A., G. Neumann and A. Bosch, 2007. Arabic Computational Morphology: Knowledge-Based and Empirical Methods. In: Arabic Computational Morphology, Soudi, A., A. van den Bosch and G. Neumann (Eds.). Text, Speech and Language Technology Volume 38, Springer, The Netherlands, ISBN: 978-1-4020-6045-8, pp: 3-14.

Taghva, K., R. Elkhoury and J. Coombs, 2005. Arabic stemming without a root dictionary. Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC’05) Vol. 1, April 4-6, 2005, IEEE, Las Vegas, Nevada, pp: 152-157.

Voorhees, E.M. and D. Harman, 1999. The seventh text retrieval conference (TREC-7). Master Thesis, National Institute of Standards and Technology, Gaithersburg, Maryland.

Xu, J. and W.B. Croft, 2000. Improving the effectiveness of information retrieval with local context analysis. ACM. Trans. Inf. Syst., 18: 79-112.
CrossRef  |  Direct Link  |  

Zaidi, S., M.T. Laskri and K. Bechkoum, 2005. A cross-language information retrieval based on an Arabic ontology in the legal domain. Proceedings of the International Conference on Signal-Image Technology and Internet-Based Systems (SITIS’05), November 27-December 1, 2005, Hotel Hilton Suites, Lahore Pakistan, pp: 86-91.

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