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Improving Relevance of Keyword Extraction from the Web Utilizing Visual Style Information

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SOFSEM 2013: Theory and Practice of Computer Science (SOFSEM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7741))

Abstract

Information growth is faster than ever before. We need to provide advanced services facilitating information “consumption” (e.g., recommendation, personalized navigation). At least a lightweight semantics is necessary for such services. Nowadays keyword paradigm is widely used and seems to achieve satisfactory results in fields such as social bookmarking or ontology learning. In this paper we explore impact of web site visual style on relevant keywords extraction. We propose a method for relevant keywords extraction from web pages combining traditional automatic term recognition algorithms with web site’s visual style processing. We particularly focus on cascade style sheets. The evaluation conducted on 200 “wild” Web documents from 12 different web sites showed that our method increases the relevance of extracted keywords.

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Author information

Authors and Affiliations

  1. Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Ilkovičova 3, 842 16, Bratislava, Slovakia

    Milan Lučanský & Marián Šimko

Authors
  1. Milan Lučanský
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  2. Marián Šimko
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Amsterdam, Plantage Muidergracht 24, 1018 TV, Amsterdam, The Netherlands

    Peter van Emde Boas

  2. Informatics Institute, Intelligent Systems Lab Amsterdam, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands

    Frans C. A. Groen

  3. Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy

    Giuseppe F. Italiano

  4. Institute of Computing Science, Poznan University of Technology, ul. Piotrowo 2, 60-965, Poznan, Poland

    Jerzy Nawrocki

  5. Hasso-Plattner-Institute for Software Systems Engineering, Prof.-Dr.-Helmert-Str. 2-3, 14482, Potsdam, Germany

    Harald Sack

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Lučanský, M., Šimko, M. (2013). Improving Relevance of Keyword Extraction from the Web Utilizing Visual Style Information. In: van Emde Boas, P., Groen, F.C.A., Italiano, G.F., Nawrocki, J., Sack, H. (eds) SOFSEM 2013: Theory and Practice of Computer Science. SOFSEM 2013. Lecture Notes in Computer Science, vol 7741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35843-2_38

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  • DOI: https://doi.org/10.1007/978-3-642-35843-2_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35842-5

  • Online ISBN: 978-3-642-35843-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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