Abstract
One of the main limitation when accessing the web is the lack of explicit schema about the logical organization of web pages/sites, whose presence may help in understanding data semantics. Here, an approach to extract a logical schema from web pages based on HTML source code analysis is presented. We define a set of primary tags actually used to give a structural/logical backbone to the page. Primary tags are used to divide the page into collections, which represent distinct structural page sections; these are finally mapped into logical sections according to their semantics, providing a logical page schema. The structuring methodology is applied to some real web pages to test the approach.
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Carchiolo, V., Longheu, A., Malgeri, M. (2003). Hidden Schema Extraction in Web Documents. In: Bianchi-Berthouze, N. (eds) Databases in Networked Information Systems. DNIS 2003. Lecture Notes in Computer Science, vol 2822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39845-5_5
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DOI: https://doi.org/10.1007/978-3-540-39845-5_5
Publisher Name: Springer, Berlin, Heidelberg
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