Abstract
Search engines are found the most powerful tools of information systems. However, in case of multilingual systems, they are rather oriented towards shallow techniques. This paper outlines our study into refining query language on the comparison basis of some search engines that utilize different translation models in order to propose a novel search strategy which significantly imposes the Web traffic optimization, in particular of the Deep, or Hidden Web. The framework proposed reveals inadequacies of the trans lingual information processing and provides the benefits for the user interacting with the information system. Our analysis of the context and the syntactic structure enables the user to retrieve sentences in its natural form in at least two languages.
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Mizera-Pietraszko, J., Zgrzywa, A. (2010). Vertical Search Strategy in Federated Environment. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_21
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DOI: https://doi.org/10.1007/978-3-642-14989-4_21
Publisher Name: Springer, Berlin, Heidelberg
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