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New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 22-26    DOI: 10.11925/infotech.1003-3513.2006.05.06
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Ontology Driven Cross Language Information Retrieval
Wu Dan
 (Department of Information Management, Peking University, Beijing 100871,China)
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Abstract  

This paper analyzes the problems of semantic disambiguation of cross language information retrieval, proposes that multilingual ontologies can improve the translation efficiency of cross language information retrieval and discusses two systems on it. Then the paper designs an Ontology-based cross language information retrieval model and describes the methods to realize it.

Key wordsOntology      Cross language information retrieval (CLIR)      Information retrieval (IR)      Multilingual Ontology     
Received: 18 January 2006      Published: 25 May 2006
: 

G354

 
Corresponding Authors: Wu Dan     E-mail: woodan@pku.edu.cn
About author:: Wu Dan

Cite this article:

Wu Dan . Ontology Driven Cross Language Information Retrieval. New Technology of Library and Information Service, 2006, 1(5): 22-26.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.05.06     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I5/22

1Studer R, Benjamins V R, Fensel D. Knowledge engineering: principles and methods. Dada Knowledge Engineering, 1998, 25 (1-2):161-197
2焦玉英. 信息检索进展. 北京:科学出版社,2003.72-90
3张俊林,曲为民等. 跨语言信息检索研究进展. 计算机科学,2004(7):16-19
4Mirna Adriani. Using Statistical Term Similarity for Sense Disambiguation in Cross-Language Information Retrieval. Information Retrieval, 2000,2(1): 69-80
5Qiu Y, Frei HP. Concept Based Query Expansion. Research and Development in Information Retrieval, 1993.160-169
6Ballestercs L, Croft WB. Phrasal translation and query expansion techniques for cross-language information retrieval. In: Belkin NJ, Narasimhalu AD and Willet P, Eds., Research and Development in Information Retrieval, 1997. 84-91
7Ballesteros L and Croft WB. Resolving ambiguity for cross-language retrieval. Proceedings of the 21st Annual Interrational ACM SIGIR Confeieue on research and Development in Information Retrieval, 1998. 64-71
8Piek Vossen. EuroWordNet: a multilingual database for information retrieval. the DELOS workshop on Cross-language Information Retrieval, March 5-7, 1997, Zurich.http://www.ercim.org/publication/ws-proceedings/DELOS3/Vossen.pdf (Accessed Dec.15, 2005)
9知网. http://www.keenage.com (Accessed Feb.19, 2006)
10Natalia V. Loukachevitch. Russian Language in Cross-Language Information Retrieval: Resources and Tools in Russia.  http://www.clef-campaign.org/workshop2003/presentations/loukachevitch.ppt (Accessed Dec.15, 2005)
11Cindor系统. http://www.cindorsearch.com (Accessed Dec.26, 2005)
12侯艳飞. 跨语言信息检索研究. 北京:北京大学,2003
13Jacques, Said and Gilles. Ontology-Based Multilingual Information Retrieval. http://www.clef-campaign.org/2005/working_notes/workingnotes2005/guyot05.pdf (Accessed Dec.15, 2005)

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