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Extraction of Hidden Semantics from Web Pages

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Intelligent Data Engineering and Automated Learning — IDEAL 2002 (IDEAL 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2412))

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Abstract

One of the main limitation when accessing web is the lack of explicit structure, whose presence may help in understanding data semantics. Here, an approach to extract logical schema from web pages is presented, defining a page model where its contents is divided into “logical” sections, i.e. parts of a page each collecting related information. This model aims to take into account both traditional, static HTML pages, as well as dynamic pages content.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Informatica. e delle Telecomunicazioni, Facoltà di Ingegneria — Università di Catania, V.le A. Doria 6, Catania, Italy

    Vincenza Carchiolo, Alessandro Longheu & Michele Malgeri

Authors
  1. Vincenza Carchiolo
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  2. Alessandro Longheu
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  3. Michele Malgeri
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Electronics, UMIST, Manchester, M60 1QD, UK

    Hujun Yin , Nigel Allinson  & Richard Freeman ,  & 

  2. Department of Computation, UMIST, Manchester, M60 1QD, UK

    John Keane

  3. Department of Biomolecular Science, UMIST, Manchester, M60 1QD, UK

    Simon Hubbard

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© 2002 Springer-Verlag Berlin Heidelberg

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Carchiolo, V., Longheu, A., Malgeri, M. (2002). Extraction of Hidden Semantics from Web Pages. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_20

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  • DOI: https://doi.org/10.1007/3-540-45675-9_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44025-3

  • Online ISBN: 978-3-540-45675-9

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