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潜在语义标引(LSI)研究综述 被引量:6

Overview of Research on Latent Semantic Indexing
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摘要 在回顾我国潜在语义标引技术的研究成果基础上,分析、总结我国现有潜在语义标引研究的不足,指出我国潜在语义标引的进一步研究方向。 Based on reviewing and analyzing research results on LSI in our country, the authors analyse and summarize existing deficiencies of study on LSI, and outline the research directions of LSI.
作者 孙海霞 成颖
出处 《现代图书情报技术》 CSSCI 北大核心 2007年第9期49-53,共5页 New Technology of Library and Information Service
基金 南京大学人文社会科学项目"网络环境下异构信息检索标准体系研究"的研究成果之一
关键词 潜在语义标引 文本处理 信息检索 Latent semantic indexing Text process Information retrieval
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  • 1曾雪强,王明文,陈素芬.一种基于潜在语义结构的文本分类模型[J].华南理工大学学报(自然科学版),2004,32(z1):99-102. 被引量:27
  • 2刘云峰,齐欢,代建民,王小平.中文信息的潜在语义分析[J].华南理工大学学报(自然科学版),2004,32(z1):107-111. 被引量:5
  • 3郑亚非.非英语专业研究生英语交流能力培养研究[J].浙江工业大学学报(社会科学版),2005,4(1):70-74. 被引量:4
  • 4余士汶.现代汉语语法信息词典详解[M].清华大学出版社,1998..
  • 5滕小玲 李兵.电子邮件过滤功能的探讨和实现[J].CERNET的研究于发展,1999,4:256-258.
  • 6罗振声 孙长健 等.汉语句型成分自动分析中谓语识别策略的研究计算机语言学进展与应用[M].清华大学出版社,1995..
  • 7Kobayashi M,Malassis L,Samukawa H.Retrieval and ranking of documents from a database[M].U S Patent,2000-06
  • 8Andrea Rodriguez M,Max Egenhofer J.Determing Semantic Similarityamong Entity Classes from Different Ontologies[J].IEEE Transactions on Knowledge and Data Engineering,2003; (2):442~456
  • 9Yuhua Li,Zuhair Bandar A,David McLean.An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources.Ontologies[J].IEEE Transactions on Knowledge and Data Engineering,2003;(4 ):871~881
  • 10Lin D.An Information-Theoretic Definition of Similarity[C].In:Proc Int'l Conf Machine Learning(CIKM'98),1998

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  • 1高茂庭,王正欧.几种文本特征降维方法的比较分析[J].计算机工程与应用,2006,42(30):157-159. 被引量:16
  • 2居斌.潜在语义标引在中文信息检索中的研究与实现[J].计算机工程,2007,33(5):193-196. 被引量:16
  • 3YIMAM-SEID D, KOBSA A. Expert-finding systems for organizations: problem and domain analysis and the DEMOIR approach [ J]. Journal of Organizational Computing and Electronic Commerce, 2001. 13(1) :1-23.
  • 4BAILEY P, CRASWELL N, De VRIES A P, et al. Overview of the TREC 2007 enterprise track [C]//Proc of the 16th Text Retrieval Conference. Gaithersburg, USA : NIST,2008 : 1-7.
  • 5ZHU Jian-han. A study of the relationship between Ad hoe retrieval and expert finding in enterprise environment [C]//Proe of the 10th ACM International Workshop on Web Information and Data Management. New York : ACM Press ,2008:25-30.
  • 6BALOG K, AZZOPARDI L, De RIJKE M. A language modeling framework for expert finding [ J ]. Information Processing and Management,2009,45 ( 1 ) : 1-19.
  • 7BALOG K, De RIJKE M. Determining expert profiles( with an application to expert finding) [ C ]//Proc of the 20th International Joint Conference on Artificial Intelligence. San Francisco: Morgan Kaufmann Publishers, 2007 : 2657- 2662.
  • 8FU Yu-peng,XIANG Rong-jing,LIU Yi-qun,et al. A CDD-based forreal model for expert finding[ C]//Proc of the 16th Conference on Information and Knowledge Management. New York:ACM Press,2007: 881-884.
  • 9PETKOVA D, CROFT W B. Hierarchical language models for expert finding in enterprise corpora[ J]. International ,Journal on Artificial Intelligence Tools,2008,17 ( 1 ) :5-18.
  • 10MACDONALD C, OUNIS I. Voting techniques for expert search [ J ]. Knowledge and Information System,2008,16 (3) :259- 280.

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