Abstract
The hierarchical structure of a document plays an important role in understanding the relationships between its contents. However, such a structure is not always explicitly represented in web documents through available html hierarchical tags. Headings however, are usually differentiated from ‘normal’ text in a document in terms of presentation thus providing an implicit structure discernable by a human reader. As such, an important pre-processing step for applications that need to operate on the hierarchical level is to extract the implicitly represented hierarchal structure. In this paper, an algorithm for heading detection and heading level detection which makes use of various visual presentations is presented. Results of evaluating this algorithm are also reported.
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El-Shayeb, M.A., El-Beltagy, S.R., Rafea, A. (2009). Extracting the Latent Hierarchical Structure of Web Documents. In: Damiani, E., Yetongnon, K., Chbeir, R., Dipanda, A. (eds) Advanced Internet Based Systems and Applications. SITIS 2006. Lecture Notes in Computer Science, vol 4879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01350-8_28
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DOI: https://doi.org/10.1007/978-3-642-01350-8_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01349-2
Online ISBN: 978-3-642-01350-8
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