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Visual analysis on the research of cross-language information retrieval

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2 Author(s)
Zhao Rongying ; Center for Studies of Inf. Resources, Wuhan Univ., Wuhan, China ; Chen Rui

The authors use the information visualization software - CiteSpace II to conduct the knowledge mapping based on the data of cross-language information retrieval(CLIR) downloaded from the Web of Science at Institute for Scientific Information (ISI), including SCI, SSCI, and A&HCI. The paper maps the co-citation network mapping to reveal the representative scientists and documents of CLIR. Then draws the term and keyword co-appearance network to analyze the research hotspots of CLIR, and concludes that query translation, query expansion and machine translation are the hot topics of CLIR. At last, we map the research front mapping to analyze the research fronts of CLIR and find that the research fronts and development trend are the methods, strategies, and evaluation of CLIR.

Published in:

Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on  (Volume:2 )

Date of Conference:

4-7 Aug. 2011