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A Web Mining Method Based on Personal Ontology for Semi-structured RDF

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Web Information Systems Engineering – WISE 2005 Workshops (WISE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3807))

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Abstract

In order to improve Semantic Web Mining, as a precondition, there have to be enough data that are “well”-structured by linking to other web resources. However, Semantic Web data in real world, such as RSS and Dublin Core, are just semi-structured documents in most cases, because the main part of the content is still mixed with text data. In this paper, we propose a new Web Mining method based on Personal Ontology, a concept dictionary in the local machine personalized for each user which maps to web resource. Our approach accomplished Semantic Web Mining for semi-structured data such as RSS.

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Author information

Authors and Affiliations

  1. Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan

    Kotaro Nakayama, Takahiro Hara & Shojiro Nishio

Authors
  1. Kotaro Nakayama
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  2. Takahiro Hara
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  3. Shojiro Nishio
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Editor information

Editors and Affiliations

  1. BBN Technologies, 48103, Ann Arbor, USA

    Mike Dean

  2.  ,  

    Yuanbo Guo

  3. Dept. of Computer Education, Seoul National University of Education, Seoul, Korea

    Woochun Jun

  4. School of Engineering and Advanced Technology, Massey University, New Zealand

    Roland Kaschek

  5. Caulfield School of Information Technology, Monash University, VIC 3145, Caulfield East, Australia

    Shonali Krishnaswamy

  6. Department of Computer Science and Engineering, Lehigh University, 19 Memorial Dr., PA 18015, West, Bethlehem, U.S.A.

    Zhengxiang Pan

  7. School of Computer Science and Engineering, University of New South Wales, NSW 2052, Sydney, Australia

    Quan Z. Sheng

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© 2005 Springer-Verlag Berlin Heidelberg

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Nakayama, K., Hara, T., Nishio, S. (2005). A Web Mining Method Based on Personal Ontology for Semi-structured RDF. In: Dean, M., et al. Web Information Systems Engineering – WISE 2005 Workshops. WISE 2005. Lecture Notes in Computer Science, vol 3807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581116_24

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  • DOI: https://doi.org/10.1007/11581116_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30018-2

  • Online ISBN: 978-3-540-32287-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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