Article ID Journal Published Year Pages File Type
379435 Data & Knowledge Engineering 2007 13 Pages PDF
Abstract

In this paper, we propose a classification technique for Web pages, based on the detection of structural similarities among semistructured documents, and devise an architecture exploiting such technique for the purpose of information extraction. The proposal significantly differs from standard methods based on graph-matching algorithms, and is based on the idea of representing the structure of a document as a time series in which each occurrence of a tag corresponds to an impulse. The degree of similarity between documents is then stated by analyzing the frequencies of the corresponding Fourier transform. Experiments on real data show the effectiveness of the proposed technique.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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