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Finding Web Document Associations Using Frequent Pairs of Adjacent Words

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Knowledge Technology (KTW 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 295))

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Abstract

This paper presents an approach to find associations between Web documents using collocated word pairs. Given two Web documents which are connected via a hyperlink, we attempt to find the contextual association of these two Web pages by using collocations of word pairs from a statistical point of view. Our preliminary experimental results show that our approach is able to extract fairly coherent word pairs to derive associations between hyperlinked Web documents.

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References

  1. Ahonen-Myka, H.: Discovery of Frequent Word Sequences in Text. In: Hand, D.J., Adams, N.M., Bolton, R.J. (eds.) Pattern Detection and Discovery. LNCS (LNAI), vol. 2447, pp. 180–328. Springer, Heidelberg (2002)

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  2. Qureshi, M., Younus, A., Rojas, F.: Analyzing Web Crawler as Feed Forward Engine for Efficient Solution to Search Problem in the Minimum Amount of Time through a Distributed Framework. In: Proceedings of 1st International Conference on Information Science and Applications, Seoul, Korea (2010)

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Multimedia University, Cyberjaya, Selangor, Malaysia

    Jason Yong-Jin Tee, Lay-Ki Soon & Bali Ranaivo-Malançon

Authors
  1. Jason Yong-Jin Tee
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  2. Lay-Ki Soon
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  3. Bali Ranaivo-Malançon
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Editor information

Editors and Affiliations

  1. MIMOS Berhad, Knowledge Technology, Technology Park Malaysia, 57000, Kuala Lumpur, Malaysia

    Dickson Lukose

  2. Department of Systems and Network,College of Information Technology, Jalan IKRAM-UNITEN, Universiti Tenaga Nasional, 43000, Kajang, Malaysia

    Abdul Rahim Ahmad  & Azizah Suliman  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Yong-Jin Tee, J., Soon, LK., Ranaivo-Malançon, B. (2012). Finding Web Document Associations Using Frequent Pairs of Adjacent Words. In: Lukose, D., Ahmad, A.R., Suliman, A. (eds) Knowledge Technology. KTW 2011. Communications in Computer and Information Science, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32826-8_39

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  • DOI: https://doi.org/10.1007/978-3-642-32826-8_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32825-1

  • Online ISBN: 978-3-642-32826-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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