Need of Intelligent Search in Dynamic Social Network

The user of dynamic social network does not require irrelevant and vast amount of information during a search. A need of an intelligent search is required to get the reduced, filtered and relevant information that is achieved using an intelligent information retrieval and web mining. In this paper, identification and description of facts related to needs of an intelligent search in dynamic social network has been done by the authors after the deep and thorough study conducted on several journal and conference papers that are scattered on different electronic databases globally. The usage of intelligent agent for effective information retrieval from the social network site is a very emerging area and it will help the users to find the relevant and concerned information quickly and efficiently. The findings of the authors will help researchers and scholars who are already working in this area to get the relevant information in the direction of future research.

[1]  Arputharaj Kannan,et al.  An intelligent knowledge mining model for kidney cancer using rough set theory , 2012, Int. J. Bioinform. Res. Appl..

[2]  Lisa F. Rau,et al.  Natural language techniques for intelligent information retrieval , 1988, SIGIR '88.

[3]  Lihua Wu,et al.  A Personalized Intelligent Web Retrieval System Based on the Knowledge-Base Concept and Latent Semantic Indexing Model , 2009, 2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications.

[4]  Yiming Yang,et al.  Intelligent information retrieval , 1999, IEEE Intelligent Systems and their Applications.

[5]  Pan Ying,et al.  Building Intelligent Information Retrieval System Based on Ontology , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[6]  Arputharaj Kannan,et al.  An Intelligent System for Semantic Information Retrieval Information from Textual Web Documents , 2008, IWCF.

[7]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[8]  Hideo Shimazu,et al.  ExpertGuide for help desks-an intelligent information retrieval system for WWW pages , 1998, Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130).

[9]  László T. Kóczy,et al.  Intelligent information retrieval using fuzzy approach , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[10]  Debi Prasanna Acharjya,et al.  A Knowledge Mining Model for Ranking Institutions using Rough Computing with Ordering Rules and Formal Concept analysis , 2011, ArXiv.

[11]  Behzad Moshiri,et al.  Architecture design of an intelligent information fusion agent for information retrieval from dynamic environments , 2007, 2007 10th International Conference on Information Fusion.

[12]  John Zimmerman,et al.  Building a dynamic and computational understanding of personal social networks , 2012, MCSS '12.

[13]  Sundaram Narayanan,et al.  Developing intelligent information retrieval systems - issues in database organization, distributed processing, and interface design , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[14]  Lizhen Liu,et al.  An intelligent information retrieval system model , 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

[15]  Yi Lu,et al.  Intelligent Information Retrieval System Based on Muti-Agent Model , 2013 .

[16]  Fan Zhang,et al.  Intelligent Information Retrieval Model Based on Multi-Agents , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[17]  Edwina L. Rissland,et al.  A case-based approach to intelligent information retrieval , 1995, SIGIR '95.

[18]  Jieh Hsiang,et al.  An architecture and category knowledge for intelligent information retrieval agents , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[19]  Rossano Schifanella,et al.  Integrated Techniques and Tools for Web Mining, User Profiling and Benchmarking analysis , 2006 .

[20]  Pavol Návrat,et al.  Intelligent Support for Information Retrieval in WWW Environment , 2002, ADBIS.

[21]  Zhongjian Wang Performance Evaluation for Strategy Based on Auto-Adapting Users in Cross Language Information Retrieval , 2013 .

[22]  Czeslaw Danilowicz,et al.  Using User Profiles in Intelligent Information Retrieval , 2002, ISMIS.

[23]  Jae Hyun Lim,et al.  Query expansion for intelligent information retrieval on Internet , 1997, Proceedings 1997 International Conference on Parallel and Distributed Systems.

[24]  Bogdan Dit,et al.  Using Data Fusion and Web Mining to Support Feature Location in Software , 2010, 2010 IEEE 18th International Conference on Program Comprehension.

[25]  Debi Prasanna Acharjya,et al.  A Rough Computing based Performance Evaluation Approach for Educational Institutions , 2013, ArXiv.

[26]  Han Wang,et al.  Research of intelligent information retrieval system based on three layers agent structure , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

[27]  Yuri Quintana Cognitive approaches to intelligent information retrieval , 1997, CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings.

[28]  Sang Bong Yoo,et al.  Intelligent Information Retrieval for Web-Based Design Data Repository , 2005, ISMIS.

[29]  Yong-Min Liu,et al.  Artificial Intelligent Information Retrieval Using Assigning Context of Documents , 2009, 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.

[30]  Yong Li,et al.  Ontology based intelligent information retrieval system , 2004, Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513).

[31]  Fang Li,et al.  Web Pages Clustering and Concepts Mining: An approach towards Intelligent Information Retrieval , 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

[32]  Jianguo Jiang,et al.  The technology of intelligent information retrieval based on the semantic web , 2010, 2010 2nd International Conference on Signal Processing Systems.

[33]  Ming He,et al.  Intelligent Information Retrieval Based on the Variable Precision Rough Set Model and Fuzzy Sets , 2005, RSFDGrC.

[34]  Bing Liu,et al.  Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data , 2006, Data-Centric Systems and Applications.

[35]  Antonio Picariello,et al.  An intelligent search agent system for semantic information retrieval on the internet , 2003, WIDM '03.

[36]  Lizhen Liu,et al.  Research of intelligent information retrieval system ontology-based in digital library , 2008, 2008 IEEE International Symposium on IT in Medicine and Education.

[37]  Wenjie Li,et al.  Semantic Web-Oriented Intelligent Information Retrieval System , 2008, 2008 International Conference on BioMedical Engineering and Informatics.