@proceedings{conf/iccs/2005,
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {ICCS},
  editor = {Dau, Frithjof and Mugnier, Marie-Laure and Stumme, Gerd},
  interhash = {a8f702ec263f350956e647b7e0b54ee0},
  intrahash = {049a73d0f39efc7d4d988f262911c6f4},
  isbn = {3-540-27783-8},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Structures: Common Semantics for Sharing Knowledge, 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 17-22, 2005, Proceedings},
  url = {http://www.kde.cs.uni-kassel.de/conf/iccs05},
  volume = 3596,
  year = 2005
}

@inproceedings{ganter03creation,
  abstract = {We provide a new method for systematically structuring the top-down level of ontologies.
It is based on an interactive, top--down knowledge acquisition
process, which assures that the knowledge engineer
considers all possible cases while avoiding redundant acquisition.
The method is suited especially for creating/merging the top
part(s) of the ontologies, where high accuracy is required, and for supporting the merging of two (or more) ontologies on that level.},
  address = {Heidelberg},
  author = {Ganter, Bernhard and Stumme, Gerd},
  booktitle = {Conceptual Structures for Knowledge Creation and Communication.},
  comment = {alpha},
  editor = {de Moor, Aldo and Lex, Wilfried and Ganter, Bernhard},
  interhash = {e7193e685762aca1a3f855b06e1e4289},
  intrahash = {63bd63cb06802a5308959d611c1a017a},
  pages = {131-145},
  publisher = {Springer},
  series = {LNAI},
  title = {Creation and Merging of Ontology Top-Levels},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/ganter2003creation.pdf},
  volume = 2746,
  year = 2003
}

@inproceedings{tane03courseware,
  abstract = {Topics in education are changing with an ever faster pace. E-Learning
resources tend to be more and more decentralised. Users need increasingly to be able to
use the resources of the web. For this, they should have tools for finding and organizing
information in a decentral way. In this, paper, we show how an ontology-based tool
suite allows to make the most of the resources available on the web.},
  author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd and Staab, Steffen and Studer, R.},
  booktitle = {Mobiles Lernen und Forschen - Beiträge der Fachtagung an der Universität},
  comment = {alpha},
  editor = {David, Klaus and Wegner, Lutz},
  interhash = {7f33080bb78d089b24bf51c059f8f018},
  intrahash = {850949481723b7dd03768ccd96b25cb9},
  month = {November},
  pages = {93-104},
  publisher = {Kassel University Press},
  title = {The Courseware Watchdog:  an Ontology-based tool for finding and organizing
                  learning material},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/tane2003courseware.pdf},
  year = 2003
}

@techreport{hotho03textclustering,
  abstract = {Text document clustering plays an important role in providing intuitive
navigation and browsing mechanisms by organizing large amounts of information
into a small number of meaningful clusters. Standard partitional or agglomerative
clustering methods efficiently compute results to this end.
However, the bag of words representation used for these clustering methods is often
unsatisfactory as it ignores relationships between important terms that do not
co-occur literally. Also, it is mostly left to the user to find out why a particular partitioning
has been achieved, because it is only specified extensionally. In order to
deal with the two problems, we integrate background knowledge into the process of
clustering text documents.
First, we preprocess the texts, enriching their representations by background knowledge
provided in a core ontology — in our application Wordnet. Then, we cluster
the documents by a partitional algorithm. Our experimental evaluation on Reuters
newsfeeds compares clustering results with pre-categorizations of news. In the experiments,
improvements of results by background knowledge compared to the baseline
can be shown for many interesting tasks.
Second, the clustering partitions the large number of documents to a relatively small
number of clusters, which may then be analyzed by conceptual clustering. In our approach,
we applied Formal Concept Analysis. Conceptual clustering techniques are
known to be too slow for directly clustering several hundreds of documents, but they
give an intensional account of cluster results. They allow for a concise description
of commonalities and distinctions of different clusters. With background knowledge
they even find abstractions like “food” (vs. specializations like “beef” or “corn”).
Thus, in our approach, partitional clustering reduces first the size of the problem
such that it becomes tractable for conceptual clustering, which then facilitates the
understanding of the results.},
  author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd},
  comment = {alpha},
  institution = {University of Karlsruhe, Institute AIFB},
  interhash = {0bc7c3fc1273355f45c8970a7ea58f97},
  intrahash = {61d58db419af0dbc3681432588219c3d},
  title = {Text Clustering Based on Background Knowledge},
  type = {Technical Report },
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003text.pdf},
  volume = 425,
  year = 2003
}

@article{hereth03conceptual,
  abstract = {In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge
 Processing. Conceptual Knowledge
 Processing is based on the mathematical theory of Formal Concept
 Analysis which has become a successful theory for data analysis during
 the last two decades. CKDD aims to support a human-centered process
of discovering knowledge from data by visualizing and analyzing
the conceptual structure of the data. We dicuss how the
management system TOSCANA for conceptual information systems
supports CKDD, and illustrate it by two applications in database
marketing and flight movement analysis. Finally, we present a
new tool for conceptual deviation discovery, Chianti.},
  author = {Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta},
  comment = {alpha},
  interhash = {a9c05101aeb799232425d7651a581684},
  intrahash = {edffeb9bd2aaac559f2a6233dd49ae3b},
  journal = {Journal of Applied Artificial Intelligence (AAI)},
  number = 3,
  pages = {281-301},
  title = {Conceptual Knowledge Discovery - a Human-Centered Approach},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hereth2003conceptual.pdf},
  volume = 17,
  year = 2003
}

@proceedings{duquenne02advanced,
  address = {Lyon, France},
  comment = {alpha},
  editor = {Duquenne, V. and Ganter, B. and Liquiere, M. and Nguifo, E. M. and Stumme, G.},
  interhash = {0d1cc060cbad644c4e5bb7b6bbe93f35},
  intrahash = {9fc9512c38ebd6dbd6982fce651da0be},
  month = {July 23,},
  title = {Advances in Formal Concept Analysis for Knowledge Discovery in Databases. Proc. Workshop FCAKDD of the 15th European
                  Conference on Artificial Intelligence (ECAI 2002)},
  url = {http://www.lirmm.fr/~liquiere/Documents/FCAKDDProceedings2002.pdf},
  year = 2002
}

@incollection{stumme02using,
  address = {Heidelberg},
  author = {Stumme, G.},
  booktitle = {Wissensmanagement mit Referenzmodellen -- Konzepte für die Anwendungssystem- und Organisationsgestaltung},
  comment = {alpha},
  editor = {Becker, J. and Knackstedt, R.},
  interhash = {89b56b4b45d3c9256355080ce94045e0},
  intrahash = {8cd4f719765abd1c46d28f200327d935},
  pages = {163-174},
  publisher = {Physica},
  title = {Using Ontologies and Formal Concept Analysis for Organizing Business Knowledge},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/REFMOD01.ps},
  year = 2002
}

@article{cole03document,
  abstract = {This paper discusses an document discovery tool based on
conceptual clustering by formal concept analysis. The program
allows users to navigate email using a visual lattice metaphor
rather than a tree. It implements a virtual file structure over
email where files and entire directories can appear in multiple
positions. The content and shape of the lattice formed by the
conceptual ontology can assist in email discovery. The system
described provides more flexibility in retrieving stored emails
than what is normally available in email clients. The paper
discusses how conceptual ontologies can leverage traditional
document retrieval systems and aid knowledge discovery in document
collections.},
  author = {Cole, Richard J. and Eklund, Peter W. and Stumme, Gerd},
  comment = {alpha},
  interhash = {48bdafb15aa8650ee735074d7ae449ca},
  intrahash = {473f5c2cca394fac0de61086082a09de},
  journal = {Journal of Applied Artificial Intelligence (AAI)},
  number = 3,
  pages = {257-280},
  title = {Document Retrieval for Email Search and Discovery using Formal Concept Analysis},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/AAI03_emails.pdf},
  volume = 17,
  year = 2003
}

@inproceedings{schmitz2006mining,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.},
  address = {Heidelberg},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
  editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.},
  interhash = {20650d852ca3b82523fcd8b63e7c12d7},
  intrahash = {11b2a59a568d246d7f36cb68169a464a},
  month = {July},
  pages = {261--270},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Mining Association Rules in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
  year = 2006
}

@proceedings{delugach01conceptual,
  address = {Heidelberg},
  comment = {alpha},
  editor = {Delugach, H. and Stumme, G.},
  interhash = {b7c32894fcd1ae3e78f0ecb38bba66c0},
  intrahash = {45c60d52ca51dfb995a284f3a9dd14a0},
  publisher = {Springer},
  series = {LNAI},
  title = {Conceptual Structures -- Broadening the Base. Proc. 9th International Conference on Conceptual Structures},
  volume = 2120,
  year = 2001
}

@inproceedings{hereth01reverse,
  address = {Heidelberg},
  author = {Hereth, J. and Stumme, G.},
  booktitle = {Conceptual Structures: Broadening the Base. },
  comment = {alpha},
  editor = {Delugach, H. and Stumme, G.},
  interhash = {0b01ab0b9c59e8a8d97d0a8d4a0fd041},
  intrahash = {86270d99bc6aafb48a23c650c254d23e},
  pages = {202-215},
  publisher = {Springer},
  series = {LNAI},
  title = {Reverse Pivoting in Conceptual Information Systems.},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/ICCS01.pdf},
  volume = 2120,
  year = 2001
}

@inproceedings{stumme01bottom,
  address = {Seattle, WA, USA},
  author = {Stumme, G. and Maedche, A.},
  booktitle = {Proc. 17th Intl. Conf. on Artificial Intelligence (IJCAI '01)},
  comment = {alpha},
  editor = {Nebel, B.},
  interhash = {2ff2aa6492ba1857d18042fa4d57111d},
  intrahash = {cd6d6c64f79d13d7cf394d3a6b3858ba},
  pages = {225-230},
  title = {{FCA}-{M}erge: Bottom-Up Merging of Ontologies.},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/IJCAI01.pdf},
  year = 2001
}

@inproceedings{eklund00contextual,
  address = {Heidelberg},
  author = {Eklund, P. and Groh, B. and Stumme, G. and Wille, R.},
  booktitle = {Conceptual Structures: Logical, Linguistic, and Computational},
  comment = {alpha},
  editor = {Ganter, B. and Mineau, G. W.},
  interhash = {b15b76a5407efbdbb2a11b18a13febcb},
  intrahash = {eb6e678cba7f48ae8604d59542cd79c6},
  pages = {453-467},
  publisher = {Springer},
  series = {LNAI},
  title = {Contextual-Logic Extension of TOSCANA.},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/ICCS_toscanaextension.pdf},
  volume = 1867,
  year = 2000
}

@article{bastide02unalogorithme,
  author = {Bastide, Y. and Taouil, R. and Pasquier, N. and Stumme, G. and Lakhal, L.},
  comment = {alpha},
  interhash = {57813a40a2892bdbdae79116ce2f9d5a},
  intrahash = {494ab134ddccac2af4a1d4a7cb52a78d},
  journal = {Technique et Science Informatiques (TSI)},
  number = 1,
  pages = {65-95},
  title = {Pascal: un alogorithme d'extraction des motifs fréquents},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/TSI01.pdf},
  volume = 21,
  year = 2002
}

@inproceedings{stumme00fast,
  author = {Stumme, G. and Taouil, R. and Bastide, Y. and Pasquier, N. and Lakhal, L.},
  booktitle = {Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases},
  comment = {alpha},
  editor = {Bouzeghoub, M. and Klusch, M. and Nutt, W. and Sattler, U.},
  interhash = {12f70b6e4c9bd5fbbec7aea5aba76a89},
  intrahash = {dcfad94fb256027fbe41150d5ca35d5f},
  note = {\url{http://ceur-ws.org/Vol-29.} {P}art of \cite{stumme02computing}},
  title = {Fast Computation of Concept Lattices Using Data Mining Techniques},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/KRDB00.pdf},
  year = 2000
}

@inproceedings{goebel00einsatz,
  address = {Marburg},
  author = {Göbel, S. and Heidemann, M. and Jasnoch, U. and Stumme, G.},
  booktitle = {Hypermedia im Umweltschutz. 3. Workshop in Ulm 2000},
  comment = {alpha},
  editor = {Tochtermann, K. and Riekert, W.-F.},
  interhash = {bf04cf13088cf9f788d1b78ea099757f},
  intrahash = {a133bacbdeef0124a35088b9e66c6de0},
  pages = {169-179},
  title = {Einsatz von {GIS} und {F}ormaler {B}egriffsanalyse in
                  {A}ltlasten-{I}nformationssystemen},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/AKHU00.pdf},
  volume = {Umwelt-Informatik aktuell, Bd. 24},
  year = 2000
}

@inproceedings{stumme00towardsanorder,
  address = {Aachen},
  author = {Stumme, G. and Studer, R. and Sure, Y.},
  booktitle = {Verbundtagung Wirtschaftsinformatik 2000},
  comment = {alpha},
  editor = {Bodendorf, F. and Grauer, M.},
  interhash = {9042498686a1b2c000cd4b0007a76bf8},
  intrahash = {83cc12ae3979a3e4108e5442b7da0b4f},
  pages = {136-149},
  publisher = {Shaker},
  title = {Towards an Order-Theoretical Foundation for Maintaining and Merging Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/REFMOD00.pdf},
  year = 2000
}

@proceedings{stumme00working,
  address = {Aachen},
  comment = {alpha},
  editor = {Stumme, G.},
  interhash = {0fe2ae59eaf4ab8ceb231789fe4191ba},
  intrahash = {ade62f61239d92022347243cc1962cc0},
  publisher = {Shaker},
  title = {Working with Conceptual Structures -- Contributions to ICCS 2000. Suppl. Proc. 8th International
                  Conference on Conceptual Structures (ICCS 2000)},
  year = 2000
}

@proceedings{stumme00begriffliche,
  address = {Heidelberg},
  comment = {alpha},
  editor = {Stumme, Gerd and Wille, Rudolf},
  interhash = {fd1a01ab39d86aa72487bc68bfd4d887},
  intrahash = {da312496324083ee022682d70fdb22a1},
  publisher = {Springer},
  title = {Begriffliche Wissensverarbeitung -- Methoden und Anwendungen},
  url = {http://www.springer.com/dal/home/generic/search/results?SGWID=1-40109-22-2058937-0},
  year = 2000
}