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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 5,May 2012
Intelligent Information Retrieval in Data Mining
Full Text(PDF, )  PP.1127-1132  
Author(s)
Ravindra Pratap Singh, Poonam Yadav
KEYWORDS
intelligent Information retrieval, information extraction, data mining ontology;
ABSTRACT
In this paper we present the methodologies and challenges of information retrieval. We will focus on data mining, data warehousing, information retrieval, data mining ontology, intelligent information retrieval. We will also focus on fundamental concepts behind all information retrieval methods. The Data Mining Ontology is a formal description of the domain concepts and the relation between the concepts; it uses a hierarchical structure containing the concept entities and their relation. We discuss some issues and challenges facing developing the new techniques targeted to resolve some of the problems associated with intelligent information retrieval. 
References
[1] Qi Luo, “Advancing Knowledge Discovery and Data Mining”, 2008 IEEE DOI 10.1109/WKDD.2008.153

[2] Mao-Song Lin, Hui Zhang, and Zhang-Guo Yu, “An Ontology for Supporting Data Mining Process” Manuscript received June 30, 2006.

[3] AnHai Doan, Raghu Ramakrishna, and Shiva Kumar, “Managing Information Extraction”, SIGMOD 2006, ACM 1- 59593-256-9/06

[4] CARLO MEGHINI, FABRIZIO SEBASTIANI, AND UMBERTO STRACCIA, “A Model of Multimedia Information Retrieval”, Journal of the ACM, Vol. 48, No. 5, September 2001, pp. 909– 970.

[5] G. Salton, “Automatic Information Organization and Retrieval”, McGraw-Hill, New York, 1968.

[6] Challenges In Information Retrieval and language Modeling, Report of a Workshop held at the center for intelligent Information Retrieval, University of Massachusetts Amherst, and September 2002.

[7] Jimmy Lin, “An introduction to information retrieval and question answering”, 2004.

[8] Tanveer J Siddiqui “Intelligent Techniques for Effective Information Retrieval”, 2006.

[9] JING-YAN WANG, ZHEN ZHU, “FRAMEWORK OF MULTIAGENT INFORMATION RETRIEVAL SYSTEM BASED ON ONTOLOGY AND ITS APPLICATION” 978-1-4244-2096- 4/08/$25.00 ©2008 IEEE

[10] JIANG Xin-Hua1, LIU Yong-Min, “A New Artificial Intelligent Information Retrieval Methods” 978-0-7695-3559-3/09 $25.00 © 2009 IEEE

[11] Jimmy Lin, “An introduction to information retrieval and question answering”, 2004.

[12] Chen-Yu Lee ,Von-Wun SOO, “ Ontology based Information Retrieval and Extraction” IEEE 0-7803-8932-8/05 2005 .

[13] Hao Han and Takehiro Tokuda , “A Method for Integration ofWeb Applications Based on Information Extraction” ICWE.2008. IEEE DOI 10.1109/IC

[14] Sebastian A. R´ýos_, Juan D. Vel´asquez†, Eduardo S. Vera‡•, Hiroshi Yasuda_ and Terumasa , “ Improving Web Site Content Using a Concept-based Knowledge Discovery” IEEE/WIC/ACM International Conference on Web Intelligence 2006.

[15] Gilles Nachouki, “A Method for Information Extraction from the Web”0-7803-9521-2/06/$20.00)2006 IEEE.

[16] Hao Han and Takehiro Tokuda, “A Method for Integration ofWeb Applications Based on Information Extraction”.

[17] Xianming Liu , Weihua Li , Shixian Li3 Zhenwen Tao , “A New Model to Describe Information Semantic” International Symposium on Information Science and Engieering,2008 IEEE

[18] Yi Xiao, Ming Xiao, Fan Zhang, “Intelligent Information Retrieval Model Based on Multi-Agents” 1-4244-1312- 5/07/$25.00 © 2007 IEEE

[19] Mohan S. Kankanhalli and Yong Rui, “Application Potential of Multimedia Information Retrieval” IEEE | Vol. 96,No. 4, April 2008 0018-9219/$25.00 _2008 IEEE

[20] Pan Ying,Wang Tianjiang, Jiang Xueling, “ Building Intelligent Information Retrieval System Based on Ontology” 1-4244-1135- 1/07/$25.00 ©2007 IEEE

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