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International Conference on Computational Collective Intelligence

ICCCI 2014: Computational Collective Intelligence. Technologies and Applications pp 104–113Cite as

Interlinked Personal Story Information and User Interest in Weblog by RSS, FOAF, and SIOC Technology

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8733))

Abstract

Interlinked Personal Story and user interest in Weblogs to re-use information in the blog contents is a new way of communication in a Weblog field. With many existing vocabularies such as Rich Site Summary (RSS), Friend of a friend (FOAF) and Semantically Interlinked Online Community (SIOC), interlinked among blogs can successfully help users especially bloggers to find the relationship that occurs inside the contents of the blogs itself. Furthermore, nowadays, personal blog contents are more useful to serve as the answer to the Internet users’ search for information rather than existing search engines where personal blog contents are always updated. Our proposed framework system is designed to accomplish the motivation to interlink personal information weblogs and also to improve the uses of the blog among the online community.

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Author information

Authors and Affiliations

  1. Computer and Information Science, Universiti Teknologi PETRONAS, Tronoh, Malaysia

    Nurul Akhmal binti Mohd Zulkefli & Baharum bin Baharudin

Authors
  1. Nurul Akhmal binti Mohd Zulkefli
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  2. Baharum bin Baharudin
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Yeungnam University, Korea

    Dosam Hwang  & Jason J. Jung  & 

  2. Institute of Informatics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

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© 2014 Springer International Publishing Switzerland

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Cite this paper

binti Mohd Zulkefli, N.A., bin Baharudin, B. (2014). Interlinked Personal Story Information and User Interest in Weblog by RSS, FOAF, and SIOC Technology. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-11289-3_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11288-6

  • Online ISBN: 978-3-319-11289-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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