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Except the article forming the main content most HTML§documents on the WWW contain additional contents such§as navigation menus, design elements or commercial§banners. In the context of several applications it is§necessary to draw the distinction between main and§additional content automatically. Content extraction§and template detection are the two approaches to§solve this task. This book gives an extensive§overview and detailed description of existing and§newly developed algorithms from both areas. The§described content extraction algorithms are evaluated§under different aspects using objective performance§measures. An analysis of methods to cluster web§documents according to their underlying templates§completes the book. In combination with a localised§crawling process this clustering analysis can be used§to automatically create sets of training documents§for template detection. As the whole process can be§automated it allows to perform template detection on§a single document, thereby combining the advantages§of single and multi document algorithms.
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