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. A common approach in the extraction process is to represent a page as a 'bag of words' and then to perform additional processing on such a flat representation. In this paper we propose a new, hierarchical representation that includes browser screen coordinates for every HTML object on a page. Using visual information one is able to define heuristics for recognition of common page areas such as a header, left and right menu, footer and the centre of a page. Initial experiments have shown that, using our heuristics, defined areas are recognised properly in 73% of cases. Finally, we introduce a classification system which, taking into account the proposed document layout analysis clearly outperforms standard systems by 10% or more. Keywords: Web page classification; focused search engines; page layout; common areas; recognition heuristics; Naïve Bayes classifier. Reference to this paper should be made as follows: Kovačević, M., Diligenti, M., Gori, M. and Milutinović, V. (2003) 'Searching for web information more efficiently using presentational layout analysis', Int. J.
In the algorithm suggested by Milo Kovačević REF , each HTML object's exact position on a screen is considered in order to recognize most common parts of a web page (such as header, footer, center, left and right menus).
Searching For Web Information More Efficiently Using Presentational Layout Analysis
IJEB
IJEB
Computer Science