Please wait a minute...
New Technology of Library and Information Service  2009, Vol. 25 Issue (11): 53-58    DOI: 10.11925/infotech.1003-3513.2009.11.11
article Current Issue | Archive | Adv Search |
Research on Information Retrieval Methods Based on Two Similarity Calculation
Wang Lancheng    Li Chao
(Military Information Management Department, Nanjing Politics Institute Shanghai,Shanghai 200433,China)
Export: BibTeX | EndNote (RIS)      

The paper adopts the semantic matching technology combining with information retrieval method of semantic morpheme and expanded matching. It puts forward the theme information retrieval method which is basedon two kinds of similarity calculations to improve  system application. The research shows that the information retrieval system is able to combine many advantages, provids a more flexible and intelligent search method to reflect the effect of a better knowledge services.

Key wordsInformation retrieval      Phrase match      Synonym expand      Related expand     
Received: 29 September 2009      Published: 25 November 2009


Corresponding Authors: Wang Lancheng     E-mail:
About author:: Wang Lancheng,Li Chao

Cite this article:

Wang Lancheng,Li Chao. Research on Information Retrieval Methods Based on Two Similarity Calculation. New Technology of Library and Information Service, 2009, 25(11): 53-58.

URL:     OR

[1] Belkin N J,Cool C,Stein A,et al. Cases,Scripts,and Information-seeking Strategies: On the Design of Interactive Information Retrieval Systems[J].Expert System Application,1995,9(3):379-395.
[2] Martinez-Trinidad J F, Beltrn-Martinez B, Ruiz-Shulcloper J. A Tool to Discover the Main Themes in a Spanish or English Document[J].Expert System with Applications,2000,19(4):319-327.
[3] 朱毅华,侯汉清,沙印亭.计算机识别汉语同义词的两种算法比较和测评[J].中国图书馆学报,2002,28(4):28-31.
[4] Howard Beck,Helena Sofia Pinto. Overview of Approach,Methodologies,Standards,and Tools for Ontologies[EB/OL].(2004-11-20).[2009-08-07].
[5] 李源,何清,史忠植.基于概念语义空间的联想检索[J].北京科技大学学报,2001,23(6):577-580.
[6] 真溱. 电子叙词表——结构性置标语言应用实例[J].图书馆杂志,2001,20(8):9-13.
[7] 李振星,徐泽平,唐卫清,等. 全二分最大匹配快速分词算法[J].计算机工程与应用,2002,38(11):106-109.

[1] Huang Mingxuan,Jiang Caoqing,Lu Shoudong. Expanding Queries Based on Word Embedding and Expansion Terms[J]. 数据分析与知识发现, 2021, 5(6): 115-125.
[2] Meng Zhen,Wang Hao,Yu Wei,Deng Sanhong,Zhang Baolong. Vocal Music Classification Based on Multi-category Feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 59-70.
[3] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[4] Mingxuan Huang,Shoudong Lu,Hui Xu. Cross-Language Information Retrieval Based on Weighted Association Patterns and Rule Consequent Expansion[J]. 数据分析与知识发现, 2019, 3(9): 77-87.
[5] Sun Haixia,Wang Lei,Wu Yingjie,Hua Weina,Li Junlian. Matching Strategies for Institution Names in Literature Database[J]. 数据分析与知识发现, 2018, 2(8): 88-97.
[6] Yang Chaofan,Deng Zhonghua,Peng Xin,Liu Bin. Review of Information Retrieval Research: Case Study of Conference Papers[J]. 数据分析与知识发现, 2017, 1(7): 35-43.
[7] Zhang Xiaojuan,Han Yi. Reviews on Temporal Information Retrieval[J]. 数据分析与知识发现, 2017, 1(1): 3-15.
[8] Huang Mingxuan. Cross Language Information Retrieval Model Based on Matrix-weighted Association Patterns Mining[J]. 数据分析与知识发现, 2017, 1(1): 26-36.
[9] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
[10] Heng Ding, Wei Lu. A Study on Correlation-based Cross-Modal Information Retrieval[J]. 现代图书情报技术, 2016, 32(1): 17-23.
[11] Mao Jin, Li Gang, Cao Yujie. Re-rank Retrieval Results Through Subject Indexing[J]. 现代图书情报技术, 2014, 30(7): 48-55.
[12] Qiu Junping, Fang Guoping. The Comparative Analysis of Natural Language Processing Research at Home and Abroad Based on Knowledge Mapping[J]. 现代图书情报技术, 2014, 30(12): 51-61.
[13] Tang Jingxiao,Lv Xueqiang,Liu Chengyang,Li Han. A Hierarchical Framework for User Intention Recognition[J]. 现代图书情报技术, 2014, 30(1): 36-42.
[14] Zhang Mei, Duan Jianyong, Xu Jichao. Person Name Attribute Knowledge Mining and Its Application for Query Classification[J]. 现代图书情报技术, 2013, 29(9): 82-87.
[15] Zhou Shanshan, Bi Qiang, Gao Junfeng. A Method of Information Retrieval Results Visualization Based on Social Network Analysis[J]. 现代图书情报技术, 2013, 29(11): 81-85.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938