Information categorization in web pages and sites

Today, surfing on the net is not limited to the search of scientific information, indeed a generic user is interested in different kinds of information about business, music, travel and so on. When accessing web documents, however, the lack of explicit structure does not facilitate in understanding data semantics, thus the comprehension of logical organization of web data relies on user's intuition of the underlying author's schema. In this paper, we present an approach to web structuring based on the analysis of the structure and the semantics of both web pages and sites, in order to discover and provide users with hidden schemas. Aimed benefits from this work are to facilitate the navigation inside web documents/sites, to promote the use of more powerful, semantic-based search methods and to allow better pages/sites management and re-design.

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