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lgvivian2011

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专业: 自然语言理解与机器翻译

[求助] 帮忙查看是否被EI(JA)检索已有1人参与

各位帮帮忙我的一篇论文是否被EI(JA)检索,名字 Multi-Agent Information Retrieval System

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1楼 2014-09-19 13:49:49

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lgvivian2011

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论文题目是这个阿:A multi-Agent Information Retrieval System

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2楼2014-09-19 14:13:37

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小凡下山

铁杆木虫 (著名写手)

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★ ★ ★ ★ ★
感谢参与，应助指数 +1
lgvivian2011: 金币+5, ★有帮助, 不是我的论文看来还没检索,再等等吧!不过也谢谢了 2014-09-20 13:18:21

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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3楼2014-09-19 18:36:57

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