The purpose of our ongoing efforts is to investigate the influence of web page design based on text-structure and user prior knowledge for information retrieval on the basis of navigation accuracy, speed, quality and memorization. We hypothesized that cognitively designed web home page may help low prior knowledge students organize their representation of text contents of web page. Two types of...

A new web content structure based on visual representation is proposed in this paper. Many web applications such as information retrieval, information extraction and automatic page adaptation can benefit from this structure. This paper presents an automatic top-down, tag-tree independent approach to detect web content structure. It simulates how a user understands web layout structure based on ...

Motivated by applying Text Categorization to classification of Web search results, this paper describes an extensive experimental study of the impact of bag-ofwords document representations on the performance of five major classifiers – Naïve Bayes, SVM, Voted Perceptron, kNN and C4.5. The texts, representing short Web-page descriptions sorted into a large hierarchy of topics, are taken from th...

Web page segmentation and data cleaning are essential steps in structured web data extraction. Identifying a web page main content region, removing what is not important (menus, ads, etc.), can greatly improve the performance of the extraction process. We propose, for this task, a novel and fully automatic algorithm that uses a tag path sequence (TPS) representation of the web page. The TPS con...