| I |
Berendt, B.; Hotho, A. & Stumme, G.
(2004):
Usage Mining for and on the Semantic Web.
In: Data Mining Next Generation Challenges and Future Directions.
Hrsg./Editors: Kargupta, H.; Joshi, A.; Sivakumar, K. & Yesha, Y.
Verlag/Publisher: AAAI Press,
Boston.
Erscheinungsjahr/Year: 2004.
Seiten/Pages: 461-481.
[Volltext] [Kurzfassung] [BibTeX]
[Endnote]
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.
@incollection{berendt04usage,
author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
title = {Usage Mining for and on the Semantic Web},
editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena},
booktitle = {Data Mining Next Generation Challenges and Future Directions},
publisher = {AAAI Press},
address = {Boston},
year = {2004},
pages = {461-481},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf},
isbn = {0-262-61203-8},
keywords = {2004, itegpub, l3s, mining, myown, semantic, usage, web},
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.} }
%0 = incollection
%A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd
%B = Data Mining Next Generation Challenges and Future Directions
%C = Boston
%D = 2004
%I = AAAI Press
%T = Usage Mining for and on the Semantic Web
%U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf
|
| I |
Berendt, B.; Hotho, A. & Stumme, G.
(2004):
Usage Mining for and on the Semantic Web.
In: Data Mining Next Generation Challenges and Future Directions.
Hrsg./Editors: Kargupta, H.; Joshi, A.; Sivakumar, K. & Yesha, Y.
Verlag/Publisher: AAAI Press,
Boston.
Erscheinungsjahr/Year: 2004.
Seiten/Pages: 461-481.
[Volltext] [Kurzfassung] [BibTeX]
[Endnote]
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.
@incollection{berendt04usage,
author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
title = {Usage Mining for and on the Semantic Web},
editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena},
booktitle = {Data Mining Next Generation Challenges and Future Directions},
publisher = {AAAI Press},
address = {Boston},
year = {2004},
pages = {461-481},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf},
isbn = {0-262-61203-8},
keywords = {2004, itegpub, l3s, mining, myown, semantic, usage, web},
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.} }
%0 = incollection
%A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd
%B = Data Mining Next Generation Challenges and Future Directions
%C = Boston
%D = 2004
%I = AAAI Press
%T = Usage Mining for and on the Semantic Web
%U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf
|