Abstract—The increasing need for the access to information without language barrier has lead to the strong demand for cross language information retrieval (CLIR). The concept of CLIR allows retrieving information written in different language from the language of the user query. One of the approaches to CLIR is based on the use of Web mining. Web mining use data mining techniques to automatically discover and extract information from web documents and services. In this paper we study the need of techniques that are useful for information search and cross language information retrieval. The advanced methods for acquiring the information using web mining techniques are elaborated, which improves the efficiency and effectiveness for cross-language web retrieval.
Index Terms—Web mining, information retrieval, cross language information retrieval, translation.
Authors are with are with the Department of Mater of Computer Application, R. V. College of Engineering, Bangalore, India (e-mail: archana.s.uday@gmail.com).
Cite: Archana M, Vijayalakshmi M. N, C. Chandrani, and Sumithra Devi K. A., "Extracting Web Information for Clir," International Journal of Modeling and Optimization vol. 1, no. 5, pp. 410-413, 2011.
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