Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification

Abstract. Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is to represent a page as a “bag of words ” and then to perform an additional processing on such a flat representation. In this paper we propose a new, hierarchical representation that includes the browser screen coordinates for every HTML object in a page. Using a spatial information one is able to define heuristics for recognition of common page areas such as a header, left and right menu, footer and the center of a page. We show in initial experiments that using our heuristics, defined objects are recognized properly in 73 % of cases.