The success of the Semantic Web crucially depends on the easy creation of ontology-based metadata by semantic annotation. We provide a framework, CREAM, that allows for the creation of semantic metadata about static and dynamic Web pages, i.e. for semantic annotation of the Shallow and the Deep Web. CREAM supports the manual and the semi-automatic annotation of static Web pages, the authoring o...

For cell phone users and blind people using non-visual browsers, browsing Web by common browsers is quite inefficient due to the problem of information overload. This paper presents the TB-WPRO (TitleBlock based Web Page Re-Organization) method, which hierarchically segments web pages into blocks using visual and layout information reflecting the web designers’ intent. TB-WPRO segments the web ...

For many people the World Wide Web has become an indispensable tool for work and entertainment. However, for people using sign languages, which convey meaning by gestures moving in time and space, the primarily static and textual nature of the WWW medium has, until now, posed an important challenge. Signing linguistic communities should be able to develop their own signing Webs that include hyp...

This paper addresses the problem of automatically extracting the author from heterogeneous HTML resources as a sub problem of automatic metadata extraction from (Web) documents. We take a supervised machine learning approach to address the problem using a C4.5 Decision Tree algorithm. The particularity of our approach is that it focuses on both, structure and contextual information. A semi-auto...

The size of the internet is large and it had grown enormously search engines are the tools for Web site navigation and search. Search engines maintain indices for web documents and provide search facilities by continuously downloading Web pages for processing. This process of downloading web pages is known as web crawling. In this paper we propose the architecture for Effective Migrating Parall...

The size of the internet is large and it had grown enormously search engines are the tools for Web site navigation and search. Search engines maintain indices for web documents and provide search facilities by continuously downloading Web pages for processing. This process of downloading web pages is known as web crawling. In this paper we propose the architecture for Effective Migrating Parall...

The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts? Equivalently, can we turn the web into a web of facts (instead of a web of pages containing facts)? Ultimately, can the web be a knowledgebase—a web of knowled...

In data-intensive web sites pages are generated by scripts that embed data from a backend database into HTML templates. There is usually a relationship between the semantics of the data in a page and its corresponding template. For example, in a web site about sports events, it is likely that pages with data about athletes are associated with a template that differs from the template used to ge...

In this paper, we present an inferential model for text type and genre identification of web pages, where text types are inferred using a modified form of Bayes’ theorem, and genres are derived using a few simple if-then rules. As the genre system on the web is a complex reality, and web pages are much more unpredictable and individualized than paper documents, we propose this approach as an al...

In this paper we propose a new centroid-based approach for genre categorization of web pages. Our approach constructs genre centroids using a set of genre-labeled web pages, called training web pages. The obtained centroids will be used to classify new web pages. The aim of our approach is to provide a flexible, incremental, refined and combined categorization, which is more suitable for automa...