Usage Mining for and on the Semantic Web.
In:
H. Kargupta, A. Joshi, K. Sivakumar and Y. Yesha, editors,
Data Mining Next Generation Challenges and Future Directions, pages 461-481.
AAAI Press, Boston, 2004.
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining.
Usage Mining for and on the Semantic Web.
In:
H. Kargupta, A. Joshi, K. Sivakumar and Y. Yesha, editors,
Data Mining Next Generation Challenges and Future Directions, pages 461-481.
AAAI Press, Boston, 2004.
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining.