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International Conference on Web Engineering

ICWE 2019: Current Trends in Web Engineering pp 27–30Cite as

Knowledge Exploration from Tables on the Web

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11609))

Abstract

Tables in Web pages are the main source of knowledge graphs because they contain summarised information. Since there are various ways to represent information in web tables, it is not easy to extract information efficiently. This paper proposes a method for extracting information from structured and unstructured web pages and a method for converting the extracted information into a knowledge graph. In particular, in order to construct a Korean knowledge graph, this paper introduces a method for extracting large table data from web pages that are written in Korean and expressing it in a graph.

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Author information

Authors and Affiliations

  1. Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, Korea

    Haklae Kim

Authors
  1. Haklae Kim
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Correspondence to Haklae Kim .

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Editors and Affiliations

  1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

    Marco Brambilla

  2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

    Cinzia Cappiello

  3. Department of Software Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Siew Hock Ow

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Kim, H. (2020). Knowledge Exploration from Tables on the Web. In: Brambilla, M., Cappiello, C., Ow, S. (eds) Current Trends in Web Engineering. ICWE 2019. Lecture Notes in Computer Science(), vol 11609. Springer, Cham. https://doi.org/10.1007/978-3-030-51253-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-51253-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51252-1

  • Online ISBN: 978-3-030-51253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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