@incollection{cimiano2004conceptual,
  address = {Berlin/Heidelberg},
  author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
  booktitle = {Concept Lattices},
  editor = {Eklund, Peter},
  interhash = {e42d9895b0d816f231227f1be15b03dc},
  intrahash = {9676ee1ded2b73fa90253a2a5dccdbf8},
  isbn = {978-3-540-21043-6},
  pages = {189--207},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Knowledge Processing with Formal Concept
                   Analysis and Ontologies},
  url = {http://dx.doi.org/10.1007/978-3-540-24651-0_18},
  volume = 2961,
  year = 2004
}

@proceedings{dau05contributions,
  address = {Kassel},
  booktitle = {Contributions to ICCS 2005},
  editor = {Dau, Frithjof and Mugnier, Marie-Laure and Stumme, Gerd},
  interhash = {1d639a4ee220bfb2e4e345921da8f57b},
  intrahash = {922eeab1c4a936636813e44c6b42092e},
  isbn = {3-89958-138-5},
  publisher = {kassel university press},
  title = {Contributions to ICCS 2005},
  url = {http://www.kde.cs.uni-kassel.de/conf/iccs05},
  year = 2005
}

@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{cimiano2004concept,
  abstract = {Among many other knowledge representations formalisms, Ontologies
and Formal Concept Analysis (FCA) aim at modeling 'concepts'. We
discuss how these two formalisms may complement another from an
application point of view. In particular, we will see how FCA can
be used to support Ontology Engineering, and how ontologies can be
exploited in FCA applications. The interplay of FCA and ontologies
is studied along the life cycle of an ontology:
 (i) FCA can support the building of the ontology as a
 learning technique.
 (ii) The established ontology can be analyzed and navigated by
 using techniques of FCA.
 (iii) Last but not least, the ontology may be used to improve an FCA
 application.},
  address = {Heidelberg},
  author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
  booktitle = {Concept Lattices},
  editor = {Eklund, Peter},
  interhash = {e42d9895b0d816f231227f1be15b03dc},
  intrahash = {062d956cd265215f53fdc7b8401b7f15},
  isbn = {3-540-23258-3},
  organization = {Second International Conference on Formal Concept Analysis, ICFCA 2004},
  pages = {189-207},
  publisher = {Springer},
  series = {LNAI},
  title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/cimiano2004concept.pdf},
  volume = 2961,
  year = 2004
}

@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
}

@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
}

@inproceedings{stumme05conceptual,
  address = {Trondheim},
  author = {Stumme, Gerd},
  booktitle = {Ontologies-based techniques for DataBases and Information Systems},
  editor = {Collard, Martine and Cavarero, Jean-Louis},
  interhash = {946495ceddb971b4c276e1d1581eaf59},
  intrahash = {c0fef31a406a9e305ea459d24af29e0d},
  pages = 5,
  title = {Conceptual Knowledge Processing (Invited Talk)},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005some_slides.pdf},
  year = 2005
}

@inproceedings{stumme96exploration,
  address = {Heidelberg},
  author = {Stumme, Gerd},
  booktitle = {Ordinal and Symbolic Data Analysis. Proc. OSDA'95. Studies in Classification, Data Analysis, and Knowledge Organization 8},
  comment = {alpha},
  editor = {Diday, E. and Lechevallier, Y. and Opitz, O.},
  interhash = {aa43dfdb5a671cd365da23eb67005eab},
  intrahash = {74d9a8ec167f3aebfdbef0eee5d92b83},
  pages = {31-44},
  publisher = {Springer},
  title = {Exploration Tools in Formal Concept Analysis},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1995/P1796-OSDA95.pdf},
  year = 1996
}

@article{stummei96international,
  author = {Stumme, G.},
  comment = {alpha},
  interhash = {42403cf5fba74f768833ee37876473c2},
  intrahash = {a8c6ce3f081a2d19e69907783f643e9d},
  journal = {Zeitschrift für Semiotik},
  number = {Heft 2-3},
  pages = 381,
  title = {International Conference  on  Conceptual Knowledge Processing. Conference Report.},
  volume = 18,
  year = 1996
}

@inproceedings{bastide00levelwise,
  address = {France},
  author = {Bastide, Y. and Taouil, R. and Pasquier, N. and Stumme, G. and Lakhal, L.},
  booktitle = {Actes des 16ièmes Journées Bases de Données Avancées},
  comment = {alpha},
  interhash = {a3181cc73b190099592107cf465c4e43},
  intrahash = {a11de6a74851c7076452159d1b12489b},
  month = {Oct 24-27},
  pages = {307-322},
  publisher = {Blois},
  title = {Levelwise Search of Frequent Patterns},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/BDA00.pdf},
  year = 2000
}

@article{pasquier2005generating,
  author = {Pasquier, Nicolas and Taouil, Rafik and Bastide, Yves and Stumme, Gerd and Lakhal, Lotfi},
  comment = {alpha},
  interhash = {cb0ee99fae39f2a5e0af5be9d97978f5},
  intrahash = {40f59a7fa7ce5015f9ee81709db89de0},
  journal = {Journal Intelligent Information Systems (JIIS)},
  number = 1,
  pages = {29-60},
  publisher = {Kluwer Academic Publishers},
  title = {Generating a Condensed Representation for Association Rules},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf},
  volume = 24,
  year = 2005
}

@inproceedings{stumme1995knowledge,
  address = {Berlin--Heidelberg--New~York},
  author = {Stumme, Gerd},
  booktitle = {Conceptual structures: applications, implementation and theory},
  editor = {Ellis, G. and Levinson, R. and Rich, W. and Sowa, J. F.},
  interhash = {8d345e4fd5d9422ef43d6bc88548b3f1},
  intrahash = {81ad0b71e433513125eed3a478b28b60},
  number = 954,
  organisation = {Simon Fraser University},
  publisher = {Springer--Verlag},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Knowledge acquisition by distributive concept exploration},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1995/ICCS95_not_in_cv.pdf},
  year = 1995
}

@inproceedings{stumme98conceptual,
  address = {Heidelberg},
  author = {Stumme, Gerd and Wille, Rudolf and Wille, Uta},
  booktitle = {Principles of Data Mining and Knowledge Discovery Proc. 2nd European Symposium on PKDD'98},
  editor = {Zytkow, J. M. and Quafofou, M.},
  interhash = {5ef89b6f8fb22f9d24eda7da71b8bdb1},
  intrahash = {b960d1d34dace39052a0530ab4026e18},
  note = {{P}art of \cite{hereth03conceptual}},
  page = {318-331},
  pages = {450-458},
  series = {LNAI},
  title = {Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis Methods},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1998/P1993-PKDD98.pdf},
  volume = 1510,
  year = 1998
}

@inproceedings{mineau99conceptual,
  address = {Heidelberg},
  author = {Mineau, Guy and Stumme, Gerd and Wille, Rudolf},
  booktitle = {Conceptual Structures: Standards  and  Practices. Proc. ICCS '99},
  editor = {Tepfenhart, W. and Cyre, W.},
  interhash = {da964e12b882b59f6562a5e5ebb346ae},
  intrahash = {162279b2ef7ec69ab0bf0dc3a7b79b18},
  page = {318-331},
  pages = {423-441},
  publisher = {Springer},
  series = {LNAI},
  title = {Conceptual Structures  Represented by Conceptual Graphs and Formal Concept Analysis},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1999/ICCS99.pdf},
  volume = 1640,
  year = 1999
}

@article{bastide00miningfrequent,
  author = {Bastide, Y. and Taouil, R. and Pasquier, N. and Stumme, G. and Lakhal, L.},
  interhash = {86c9586115ef1c7ec8539257849d9842},
  intrahash = {1e79f8ba76044d2c78cea441eeba84aa},
  journal = {SIGKDD Explorations, Special Issue on Scalable Algorithms},
  number = 2,
  pages = {71-80},
  title = {Mining Frequent Patterns with Counting Inference.},
  volume = 2,
  year = 2000
}

@inproceedings{hereth2000conceptual,
  address = {Heidelberg},
  author = {Hereth, J. and Stumme, G. and Wille, R. and Wille, U.},
  booktitle = {Conceptual Structures: Logical, Linguistic, and Computational  Issues. Proc. ICCS '00},
  editor = {Ganter, B. and Mineau, G. W.},
  interhash = {8a4c0c21d83c25bb78f80e89dd36a89a},
  intrahash = {577e0f2074bbece17498848014d14705},
  page = {{P}art of \cite{hereth03conceptual}},
  pages = {421-437},
  publisher = {Springer},
  series = {LNAI},
  title = {Conceptual Knowledge Discovery and Data Analysis},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/P2092_ICCS00_kdd.pdf},
  volume = 1867,
  year = 2000
}

@inproceedings{stumme01intelligent,
  address = {Heidelberg},
  author = {Stumme, G. and Taouil, R. and Bastide, Y. and Pasquier, N. and Lakhal, L.},
  booktitle = {KI 2001: Advances in Artificial Intelligence. KI 2001},
  editor = {Baader, F. and Brewker, G. and Eiter, T.},
  interhash = {15d7d015c8820a41323ab4e7639ff151},
  intrahash = {d93292a7637bd2061b67f4934e7dde46},
  pages = {335-350},
  publisher = {Springer},
  series = {LNAI},
  title = {Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/KI01.pdf},
  volume = 2174,
  year = 2001
}