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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Berendt, B., Hotho, A. & Stumme, G. Usage Mining for and on the Semantic Web

    [Abstract] [BibTeX]

    		 2004 Data Mining Next Generation Challenges and Future Directions, pp. 461-481  incollection URL 
    Abstract: Semantic Web Mining aims at combining the two fast-developing
    search areas Semantic Web and Web Mining.
    b Mining aims at discovering insights about the meaning of Web
    sources and their usage. Given the primarily syntactical nature
    data Web mining operates on, the discovery of meaning is
    possible based on these data only. Therefore, formalizations of
    e semantics of Web resources and navigation behavior are
    creasingly being used. This fits exactly with the aims of the
    mantic Web: the Semantic Web enriches the WWW by
    chine-processable information which supports the user in his
    sks. In this paper, we discuss the interplay of the Semantic Web
    th Web Mining, with a specific focus on usage mining.
    BibTeX: 
    @incollection{berendt04usage,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  title = {Usage Mining for and on the Semantic Web},
  booktitle = {Data Mining  Next Generation Challenges and Future Directions},
  publisher = {AAAI Press},
  year = {2004},
  pages = {461-481},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}
}
    Berendt, B., Hotho, A. & Stumme, G. Usage Mining for and on the Semantic Web

    [Abstract] [BibTeX]

    		 2004 Data Mining Next Generation Challenges and Future Directions, pp. 461-481  incollection URL 
    Abstract: Semantic Web Mining aims at combining the two fast-developing
    search areas Semantic Web and Web Mining.
    b Mining aims at discovering insights about the meaning of Web
    sources and their usage. Given the primarily syntactical nature
    data Web mining operates on, the discovery of meaning is
    possible based on these data only. Therefore, formalizations of
    e semantics of Web resources and navigation behavior are
    creasingly being used. This fits exactly with the aims of the
    mantic Web: the Semantic Web enriches the WWW by
    chine-processable information which supports the user in his
    sks. In this paper, we discuss the interplay of the Semantic Web
    th Web Mining, with a specific focus on usage mining.
    BibTeX: 
    @incollection{berendt04usage,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  title = {Usage Mining for and on the Semantic Web},
  booktitle = {Data Mining  Next Generation Challenges and Future Directions},
  publisher = {AAAI Press},
  year = {2004},
  pages = {461-481},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}
}

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