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Despite the exponential WWW growth and the success of the Semantic Web, there is limited support today to handle the information found on the Web. In this scenario, techniques and tools that support effective information retrieval are becoming increasingly important. In this work, we present a technique for recognizing and comparing the visual structural information of Web pages, The technique is based on a classification of the set of html-tags which is guided by the visual effect of each tagdoi:10.1016/j.entcs.2009.03.002 fatcat:d7uiitocs5bfxhtz6u4lzjaotu