Automatic Generation of Deep Web Wrappers based on Discovery of Repetition
نویسندگان
چکیده
A Deep Web wrapper is a program that extracts contents from search results. We propose a new automatic wrapper generation algorithm which discovers a repetitive pattern from search results. The repetitive pattern is expressed by token sequences which consist of HTML tags, plain texts and wild-cards. The algorithm applies a string matching with mismatches to unify the variation from the template and uses FFT(fast Fourier transformation) to attain efficiency. We show an empirical evaluation of the algorithm for 51 Web databases.
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