@inproceedings{zoller2015publication,
  abstract = {Scholarly success is traditionally measured in terms of citations to publications. With the advent of publication man- agement and digital libraries on the web, scholarly usage data has become a target of investigation and new impact metrics computed on such usage data have been proposed – so called altmetrics. In scholarly social bookmarking sys- tems, scientists collect and manage publication meta data and thus reveal their interest in these publications. In this work, we investigate connections between usage metrics and citations, and find posts, exports, and page views of publications to be correlated to citations.},
  author = {Zoller, Daniel and Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proceedings of the 2015 ACM Conference on Web Science},
  interhash = {3515b34cd19959cee5fafbf4467a75ed},
  intrahash = {548a7010ee2726f28e04e5c6e5fd6e2d},
  title = {On Publication Usage in a Social Bookmarking System},
  year = 2015
}

@incollection{berendt04usage,
  abstract = {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.},
  address = {Boston},
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Data Mining  Next Generation Challenges and Future Directions},
  editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena},
  interhash = {272317659fc9bad03d6083a7afc1bc35},
  intrahash = {0ef00fe39718eae61dca4d251b14578d},
  isbn = {0-262-61203-8},
  pages = {461-481},
  publisher = {AAAI Press},
  title = {Usage Mining for and on the Semantic Web},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf},
  year = 2004
}

@incollection{berendt04usage,
  abstract = {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.},
  address = {Boston},
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Data Mining  Next Generation Challenges and Future Directions},
  editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena},
  interhash = {272317659fc9bad03d6083a7afc1bc35},
  intrahash = {0ef00fe39718eae61dca4d251b14578d},
  isbn = {0-262-61203-8},
  pages = {461-481},
  publisher = {AAAI Press},
  title = {Usage Mining for and on the Semantic Web},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf},
  year = 2004
}

@inproceedings{stumme02usage,
  address = {Baltimore},
  author = {Stumme, G. and Berendt, B. and Hotho, A.},
  booktitle = {Proc. NSF Workshop on Next Generation Data Mining},
  comment = {alpha},
  interhash = {479de77764be1ec66534be1c647e0857},
  intrahash = {4a68d1443065dcd7980989e97cb0af69},
  month = {November},
  pages = {77-86},
  title = {Usage Mining for and on the Semantic Web},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/NSF-NGDM02.pdf},
  year = 2002
}

@inproceedings{awic2003,
  author = {Oberle, Daniel and Berendt, Bettina and Hotho, Andreas and Gonzalez, Jorge},
  booktitle = {Advances in Web Intelligence, First International Atlantic Web Intelligence Conference, AWIC 2003, Madrid, Spain, May 5-6, 2003, Proceedings},
  editor = {Ruiz, Ernestina Menasalvas and Segovia, Javier and Szczepaniak, Piotr S.},
  interhash = {f55b03b7f6aa768c16e09abe349238b2},
  intrahash = {0e850231f9b08acb97a39c18e6591526},
  pages = {142-154},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Conceptual User Tracking},
  url = {http://www.aifb.uni-karlsruhe.de/WBS/dob/pubs/awic2003.pdf},
  volume = 2663,
  year = 2003
}

@inproceedings{stumme02Usage,
  author = {Stumme, Gerd and Berendt, Bettina and Hotho, Andreas},
  booktitle = {Next Generation Data Mining. Proc. NSF Workshop, Baltimore, Nov. 2002},
  interhash = {479de77764be1ec66534be1c647e0857},
  intrahash = {9e423442a05fc82d602339f7f930dc2e},
  pages = {77-86},
  title = {Usage Mining for and on the Semantic Web},
  url = {http://www.aifb.uni-karlsruhe.de/WBS/gst/papers/2002/NSF-NGDM02.pdf},
  year = 2002
}