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Viqi: a new approach for visual interpretation


Of deep web query interfaces

Deep Web databases contain more than 90% of pertinent information of the Web. Despite their importance, users don’t profit from this treasury. Many deep web services are offering competitive services in terms of prices, quality of service, and facilities. As the number of services is growing rapidly, users have difficulty to ask many web services at the same time. In this paper, we imagine a system where users have the possibility to formulate one query using one query interface, and then the system translates the query to the rest of the query interfaces. However, interfaces are created by designers in order to be interpreted visually by users, machines can not interpret queries from a given interface. We propose a new approach that emulates the capacity of interpretation of users and extracts queries from deep web query interfaces. Our approach has proved good performances on two standard datasets...

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