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Semantic Web Evaluation Challenges

SemWebEval 2015: Semantic Web Evaluation Challenges pp 81–92Cite as

Information Extraction from Web Sources Based on Multi-aspect Content Analysis

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 548))

Abstract

Information extraction from web pages is often recognized as a difficult task mainly due to the loose structure and insufficient semantic annotation of their HTML code. Since the web pages are primarily created for being viewed by human readers, their authors usually do not pay much attention to the structure and even validity of the HTML code itself. The CEUR Workshop Proceedings pages are a good illustration of this. Their code varies from an invalid HTML markup to fully valid and semantically annotated documents while preserving a kind of unified visual presentation of the contents. In this paper, as a contribution to the ESWC 2015 Semantic Publishing Challenge, we present an information extraction approach based on analyzing the rendered pages rather than their code. The documents are represented by an RDF-based model that allows to combine the results of different page analysis methods such as layout analysis and the visual and textual feature classification. This allows to specify a set of generic rules for extracting a particular information from the page independently on its code.

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Notes

  1. 1.

    http://www.fit.vutbr.cz/~burgetr/FITLayout/.

  2. 2.

    https://github.com/FitLayout/ToolsEswc/blob/master/sparql/logicalTree2domain.sparql.

  3. 3.

    https://github.com/FitLayout/ToolsEswc.

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Acknowledgments

This work was supported by the BUT FIT grant FIT-S-14-2299 and the IT4Innovations Centre of Excellence CZ.1.05/1.1.00/02.0070.

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Authors and Affiliations

  1. Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 2, 612 66, Brno, Czech Republic

    Martin Milicka & Radek Burget

Authors
  1. Martin Milicka
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  2. Radek Burget
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Corresponding author

Correspondence to Martin Milicka .

Editor information

Editors and Affiliations

  1. Inria, Sophia Antipolis, France

    Fabien Gandon

  2. INRIA Sophia-Antipolis Méditerranée, Sophia Antipolis, France

    Elena Cabrio

  3. Université Paris-Sorbonne, Paris, France

    Milan Stankovic

  4. École des Mines de Saint-Étienne, Saint-Étienne, France

    Antoine Zimmermann

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© 2015 Springer International Publishing Switzerland

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Milicka, M., Burget, R. (2015). Information Extraction from Web Sources Based on Multi-aspect Content Analysis. In: Gandon, F., Cabrio, E., Stankovic, M., Zimmermann, A. (eds) Semantic Web Evaluation Challenges. SemWebEval 2015. Communications in Computer and Information Science, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-319-25518-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-25518-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25517-0

  • Online ISBN: 978-3-319-25518-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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