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Deep Web databases contain more than 90% of pertinent information of the Web.Despite their importance, users don't profit of this treasury. Many deep webservices are offering competitive services in term of prices, quality ofservice, and facilities. As the number of services is growing rapidly, usershave difficulty to ask many web services in the same time. In this paper, weimagine a system where users have the possibility to formulate one query usingone query interface and then the system translates query to the rest of queryinterfaces. However, interfaces are created by designers in order to beinterpreted visually by users, machines can not interpret query from a giveninterface. We propose a new approach which emulates capacity of interpretationof users and extracts query from deep web query interfaces. Our approach hasproved good performances on two standard datasets.

VIQI: A New Approach for Visual Interpretation of Deep Web Query Interfaces