@inproceedings{corbyetal00,
  author = {Corby, O. and Dieng, R. and H\'{e}bert, C.},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Conceptual Structures: Logical, Linguistic, and Computational
               Issues, 8th International Conference on Conceptual Structures,
               ICCS 2000, Darmstadt, Germany, August 14-18, 2000, Proceedings},
  editor = {Ganter, B. and Mineau, G. W.},
  interhash = {285c8b7907ce307eab350d0afe358c89},
  intrahash = {bd270b3326cbecb491ade74927067e88},
  pages = {468--482},
  publisher = {Springer},
  series = {LNCS},
  title = {A conceptual graph model for W3C resource description framework},
  volume = 1867,
  year = 2000
}

@book{sowa84,
  address = {Reading, MA},
  author = {Sowa, J. F.},
  interhash = {dc56d323330a14bf76849f897ff2fe3d},
  intrahash = {aa374e6ccc36451fbbc26c12d7cecf56},
  location = {Aix-en-Provence, France},
  publisher = {Addison-Wesley Publishing Company},
  title = {Conceptual Structures: Information Processing in Mind and Machine},
  year = 1984
}

@inproceedings{CS00,
  author = {Cole, R. and Stumme, G.},
  booktitle = {Proc. ICCS 2000},
  editor = {Ganter, B. and Mineau, G. W.},
  interhash = {17c211e14b3066aab0250d6975b8ec46},
  intrahash = {fbeb27c0d203009a0c4a177515d76b85},
  location = {Santa Barbara, CA},
  pages = {438--452},
  publisher = {Springer},
  series = {LNAI},
  title = {CEM - A Conceptual Email Manager},
  url = {citeseer.nj.nec.com/cole00cem.html},
  volume = 1867,
  year = 2000
}

@inproceedings{ms00,
  author = {Maedche, A. and Staab, S.},
  booktitle = {ECAI-2000 --Proceedings of the 13th European Conference on Artificial Intelligence},
  interhash = {69b8fca490badfc482a0b1e2b3a97e26},
  intrahash = {882af72cd1c95162f9a0965439dbdcc6},
  location = {Santa Barbara, CA},
  pages = {321--325},
  publisher = {IOS Press, Amsterdam},
  title = {Discovering Conceptual Relations from Text},
  url = {citeseer.nj.nec.com/maedche00discovering.html},
  year = 2000
}

@incollection{Michalski:83,
  address = {Palo Alto},
  author = {Michalski, R. S. and Stepp, R. E.},
  booktitle = {Machine Learning: An Artificial Intelligence Approach},
  editor = {Michalski, R. S. and Carbonell, J. G. and Mitchell, T. M.},
  interhash = {9e99854fb1e0a809ac67e371ea648ddf},
  intrahash = {611f6260074db801a81486697f15e8c2},
  pages = {331-363},
  publisher = {TIOGA Publishing Co.},
  title = {Learning from Observation: Conceptual Clustering},
  year = 1983
}

@article{michalski80,
  author = {Michalski, R. S.},
  interhash = {2c5af74e1e1e6415144cf6e36ef91f2c},
  intrahash = {febfe87f535f17c042dbbdba3e34360e},
  journal = {Journal of Policy Analysis and Information Systems},
  month = {September},
  number = 3,
  pages = {219-244},
  title = {Knowledge Acquisition Through Conceptual Clustering: A Theoretical Framework and an Algorithm for Partitioning Data into Conjunctive Concepts},
  volume = 4,
  year = 1980
}

@article{fischer87,
  abstract = {Conceptual clustering is an important way of summarizing and explaining data. However, the recent formulation of this paradigm has allowed little exploration of conceptual clustering as a means of improving performance. Furthermore, previous work in conceptual clustering has not explicitly dealt with constraints imposed by real world environments. This article presents COBWEB, a conceptual clustering system that organizes data so as to maximize inference ability. Additionally, COBWEB is incremental and computationally economical, and thus can be flexibly applied in a variety of domains.},
  author = {Fisher, Douglas H.},
  interhash = {36208ac57cc67951de85bd99b8fb8647},
  intrahash = {0edbe48f91025efea4af0a1a62433e42},
  journal = {Machine Learning},
  month = {September},
  number = 2,
  pages = {139--172},
  title = {Knowledge Acquisition Via Incremental Conceptual Clustering},
  volume = 2,
  year = 1987
}

@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{grahl2007clustering,
  abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.},
  address = {Graz, Austria},
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
  interhash = {5cf58d2fdd3c17f0b0c54ce098ff5b60},
  intrahash = {334d3ab11400c4a3ea3ed5b1e95c1855},
  issn = {0948-695x},
  month = SEP,
  pages = {356-364},
  publisher = {Know-Center},
  title = {Conceptual Clustering of Social Bookmarking Sites},
  vgwort = {14},
  year = 2007
}