期刊文献+

基于多Agent的智能信息检索框架 被引量:6

Architecture for intelligent information retrieval based on multi-Agent
下载PDF
导出
摘要 提出了一个基于多Agent的智能信息检索(intelligent information retrieval based on multi-agent,IIR M-Agent)框架。介绍了多Agent群组的工作原理,提出了一个具有二层结构的IIRM-Agent框架,阐述了各个subagent的任务以及它们之间如何协作完成智能检索、自动通告、导航条和个人信息管理的功能。 An architecture for intelligent information retrieval based on multi-agent (IIR M-Agent) is proposed, Agent community is discussed first. An M-Agent architecture which has two layers is proposed and illustrated. Subagents of IIR M-Agent are also identified so that they are designed and implemented separately. How these subagent collaborate to make some functions, such as intelligent search, auto-notification, navigation guide and personal information management, are illustrated and discussed.
出处 《计算机工程与设计》 CSCD 北大核心 2007年第5期1137-1139,1165,共4页 Computer Engineering and Design
基金 甘肃省自然科学基金项目(3ZS042-B25-014)
关键词 智能检索 多AGENT 元搜索引擎 用户兴趣 导航条 自动通告 人工智能 intelligent retrieval multi-agent meta search engine user's interest navigation guide auto-notification artificial intelligence
  • 相关文献

参考文献11

  • 1Hsieh-Chang Tu,Jieh Hsiang.An architecture and category knowledge for intelligent information retrieval agents[J].System Sciences,2000,28(4):405-414.
  • 2Tanveer J Siddiqui.Integrating notion of agency and semantics in information retrieval:An intelligent multi-agent model[J].Intelligent Systems Design and Applications,2005,5(6):160-165.
  • 3盛宪锋,山岚.基于元搜索引擎的专业式智能网络信息检索系统[J].计算机工程与设计,2004,25(1):69-73. 被引量:17
  • 4陈俊杰,薛云,宋翰涛,陆玉昌,余雪丽.基于Agent的元搜索引擎的研究与设计[J].计算机工程与应用,2003,39(10):33-36. 被引量:29
  • 5Yang Hsin-Chang,Lee Chung-Hong.Automatic category generation for text documents by self-organizing maps[J].Neural Networks,2000,(3):581-586.
  • 6徐科,黄国景,崔志明.元搜索引擎中基于用户兴趣的个性化调度模型[J].清华大学学报(自然科学版),2005,45(S1):1915-1919. 被引量:16
  • 7Hsinchum Chen,Yi-Ming Chung,Ramsey,et al.Intelligent spider for internet searching[J].System Sciences,2000,(4):178-188.
  • 8Ronald C Arkin,Tucker Balch,Elizabeth Nitz.Communication of behavorial state in multi-agent retrieval tasks[J].Robotics and Automation,2003,(3):588-594.
  • 9Ying Xiaomin,Liu Ming,Dou Wenhua.User-interestedkeywords set discovery using rough sets for intelligent information agents[J].Info-tech and Info-net,2001,(4):61-66.
  • 10许有志,沈洁,唐小燕.基于多Agent的主动数据仓库的研究[J].计算机工程与设计,2005,26(4):947-950. 被引量:8

二级参考文献30

  • 1Ronen Feldman,Ido Dagan. KDT-Knowledge discovery in textual databases[R].Montereal:In Proceedings of the 1st Annual Conference on Knowledge Discovery and Data Mining, 1995.112-117.
  • 2Willet P. Recent trends in hierarchical document clustering: A critical review [J]. Information Processing and Management,1988, 24(5).
  • 3Rocchio J J.Document retrieval systems-optimization and evaluation[D].Harvard University: Ph.D.Thesis in Computer Science,1966.
  • 4Cheeseman P, Kelly J, SelfM.AutoClass:A bayesian classification system[C]. Proceedings of the Fifth International Confe-rence on Machine Learning(ML'88), 1988.54-64.
  • 5Hill D R. A vector clustering technique in samuelson(ed.)[M].Amsterdam:Mechanized Information Storage,Retrieval and Dissemination, 1968.
  • 6Cutting D R,Karger D R,Pedersen J O. A cluster-based approach to rrowsing large document collections [R]. SIGIR'92, 1992.318-329.
  • 7Berry M.W, Drmac Z,Jessup E.R.Matrices,vector spaces,and information retrieval[J].SIAM Review, 1999,41(2):335-362.
  • 8Bjomar Larsen,Chinatsu Aone. Fast and effective text mining using linear-time document clustering[R].San Diego California:KDD'99, 1999.16-22.
  • 9Buckles B Petal. Fuzzy clustering with genetic search[J].IEEE~FUZZ'94, 1994.
  • 10Inmon W H. Building the data warehouse [M]. John Wiley and Sons, Inc, 1996.

共引文献73

同被引文献50

引证文献6

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部