Using wavelet and multi-wavelet transforms for Web information retrieval of Czech language

Abstract

In this paper, we apply our novel approaches based on wavelet and multiwavelet transforms in Web information retrieval of Czech language [1, 2, 3]. The influence of wavelet and multiwavelet transforms on feature extraction and information retrieval ability of calibration model and solve problem of selecting optimum wavelet transform for sentence query entered of any language by Internet user was investigated. The empirical results show that performs accurate retrieval of the multiwavelet transform than scalar wavelet transform. The aptitude of multiwavelet transform to represent one language or domain of the multilingual world regardless of type, script, word order, direction of writing and difficult font problems of the language. This work is a step towards multilingual search engine. © Springer-Verlag Berlin Heidelberg 2010.