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Accession number:  

20130515953020

              
Title:  
A multi-agent information retrieval system based on ontology
      
Authors:  
Gao, Qian1 Email author gq@spu.edu.cn; Cho, Young-Im2 Email author ycho@suwon.ac.kr  
    Author affiliation:  1 School of Information, Shandong Polytechnic University, 3501 University-ro, Changqing-gu, Jinan 250-353, China  
   2 College of Information Technology, University of Suwon, San 2-2, Bongdam-eup, Hwaseong-si, 445-743, Korea, Republic of  
      
Corresponding author:  
Gao, Q. (gq@spu.edu.cn)  
         
Source title:  
Advances in Intelligent Systems and Computing
   
Abbreviated source title:  
Adv. Intell. Sys. Comput.
   
Volume:  
194 AISC
   
Issue:  
VOL. 2
      
Monograph title:  
Intelligent Autonomous Systems 12 - Proceedings of the 12th International Conference, IAS 2012
      
Issue date:  
2013
   
Publication year:  
2013
        
Pages:  
593-602
        
Language:  
English
   
ISSN:  
21945357   
         
ISBN-13:  
9783642339318   
   
Document type:  
Conference article (CA)
   
Conference name:  
12th International Conference on Intelligent Autonomous Systems, IAS 2012
   
Conference date:  
June 26, 2012 - June 29, 2012
   
Conference location:  
Jeju Island, Korea, Republic of
     
Conference code:  
95157   
      
Publisher:  
Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
      
Abstract:  
Traditional information retrieval systems are lack of semantic comprehension, and also have inherent ambiguity of short keyword queries. To solve this problem, this paper proposed a Multi-Agent Information Retrieval System based on Ontology. Introducing ontology to information retrieval system can realize knowledge domain-expression in order to provide users with the increment of information service and refine the initial query. Furthermore, group agent use improved collaborative information filtering algorithm to construct the group preference base equal to the compilations of all the term preference sets of the similar users served by personal agent, so as to accomplish the personalized information retrieval according to users' interest of the group preference base and rank the retrieval results by comprehensively considering of the users' preference about a certain theme and the frequency of the keywords of the retrieved document that appear in the relevant domain. © 2013 Springer-Verlag.
            
Number of references:  
4
               
Main heading:  
Information retrieval systems  
      
Controlled terms:  
Agents  -  Information services  -  Ontology  -  Semantics  
   
Uncontrolled terms:  
Collaborative information  -  Group agents  -  Keyword queries  -  Personal Agent  -  Personalized information retrieval  -  Query refinement  -  Retrieved documents  -  Semantic comprehension  -  Users' interests  
        
Classification code:  
723 Computer Software, Data Handling and Applications -  723.5 Computer Applications -  803 Chemical Agents and Basic Industrial Chemicals -  903 Information Science
                DOI:  10.1007/978-3-642-33932-5_55
         
Database:  
Compendex
   Compilation and indexing terms, © 2014 Elsevier Inc.


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