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Advances in Information Systems Development pp 515–523Cite as

Categories Extraction for Reuse in Semantic Applications and Profile Based Recommendation Service

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Consequent formalization of requirements for intelligent web came after the chaos with static, then afterwards with dynamic web resources. The semantic web is an extension of the current web, where information has well-defined meaning, better enabling computers and people to work in cooperation [Hiba! A hivatkozási for rás nem található.]. Abstract requirements [Hiba! A hivatkozási forrás nem található.] for information formalization became specific technologies [Hiba! A hivatkozási forrás nem található., Hiba! A hivatkozási forrás nem található.] aimed to implement the vision of semantic web.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Kaunas University of Technology, Studentu St 50-308, LT-51368, Kaunas, Lithuania

    Vytautas Taujanskas

  2. Department of Informatics, Vilnius University Kaunas Faculty of Humanities, Naugardo g. 2, LT-44280, Kaunas, Lithuania

    Rimantas Butleris

Authors
  1. Vytautas Taujanskas
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  2. Rimantas Butleris
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Editor information

Editors and Affiliations

  1. Budapest Uni versity of Technology and Economics, Muegyetem rkp. 1-3, HU-1111, Budapest, Hungary

    Gabor Magyar  & Gabor Knapp  & 

  2. Boise State University, 1910 University Drive, 83725, Boise, Idaho, USA

    Wita Wojtkowski  & W. Gregory Wojtkowski  & 

  3. Systems Development Laboratory, University of Maribor, SI-6400, Presernova, Slovenia

    Jože Zupančič

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Taujanskas, V., Butleris, R. (2007). Categories Extraction for Reuse in Semantic Applications and Profile Based Recommendation Service. In: Magyar, G., Knapp, G., Wojtkowski, W., Wojtkowski, W.G., Zupančič, J. (eds) Advances in Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-70761-7_44

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  • DOI: https://doi.org/10.1007/978-0-387-70761-7_44

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-70760-0

  • Online ISBN: 978-0-387-70761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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