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Webpage Segmentation Using Ontology and Word Matching

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Neural Information Processing (ICONIP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8835))

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Abstract

Webpage segmentation is a non trivial task and is a promising research area in the field of computing study. Webpage segments demarcate informative and non-informative content in a webpage through the extraction of text and image. Not only that, segments can also distinguish different types of information between segments. Webpage segmentation is certainly useful in web ranking, classification, and other web mining applications. Segments identification is also useful in page display for constraint limited screen devices such as smart phones, PDAs etc. Recent research focused on using ontology tool to segment a webpage. However, this tool only supports English language. In this paper, we propose a multilingual ontology tool for segmenting webpage. Our tool has shown higher accuracy than existing methods for webpage segmentation.

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Author information

Authors and Affiliations

  1. School of Computing and IT, Taylor’s University, Subang Jaya, Malaysia

    Huey Jing Toh & Jer Lang Hong

Authors
  1. Huey Jing Toh
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  2. Jer Lang Hong
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Chu Kiong Loo

  2. Department of Electronics and Communication Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43009, Kajang, Selangor, Malaysia

    Keem Siah Yap

  3. School of Engineering and Information Technology, Murdoch University, South St., 6150, Murdoch, Western Australia, Australia

    Kok Wai Wong

  4. Department of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 120-749, Seoul, South Korea

    Andrew Teoh

  5. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Ren’ai Road 111, SIP 215123, Suzhou, Jiangsu Province, China

    Kaizhu Huang

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© 2014 Springer International Publishing Switzerland

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Toh, H.J., Hong, J.L. (2014). Webpage Segmentation Using Ontology and Word Matching. In: Loo, C.K., Yap, K.S., Wong, K.W., Teoh, A., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8835. Springer, Cham. https://doi.org/10.1007/978-3-319-12640-1_55

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  • DOI: https://doi.org/10.1007/978-3-319-12640-1_55

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12639-5

  • Online ISBN: 978-3-319-12640-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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