@inproceedings{jaschke2013attribute,
  abstract = {We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.},
  author = {Jäschke, Robert and Rudolph, Sebastian},
  booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis},
  editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard},
  interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4},
  intrahash = {45e900e280661d775d8da949baee3747},
  month = may,
  organization = {Technische Universität Dresden},
  pages = {19--34},
  title = {Attribute Exploration on the Web},
  url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133},
  urn = {urn:nbn:de:bsz:14-qucosa-113133},
  year = 2013
}

@book{ganter99formal,
  author = {Ganter, B. and Wille, R.},
  interhash = {1b0bf49069eadcdfac42e52addf4eb9d},
  intrahash = {ee411290ea5b80d257ac115b2738237c},
  note = {Translation of: {\it Formale Be\-griffs\-ana\-ly\-se: Mathematische
    Grundlagen.} Sprin\-ger, Heidelberg 1996.},
  publisher = {Springer},
  title = {Formal Concept Analysis: Mathematical Foundations},
  year = 1999
}

@article{kent95creating,
  author = {Kent, Robert E. and Neuss, Christian},
  date = {2003-02-14},
  ee = {http://dx.doi.org/10.1016/0169-7552(95)00095-X},
  interhash = {27e8127ff386c35eed428083b7a5c590},
  intrahash = {a9f6da98afa14d110a529e515e8f592b},
  journal = {Computer Networks and ISDN Systems},
  number = {1\&2},
  pages = {109-117},
  title = {Creating a Web Analysis and Visualization Environment},
  url = {http://dblp.uni-trier.de/db/journals/cn/cn28.html#KentN95},
  volume = 28,
  year = 1995
}

@article{kuznetsov02comparing,
  author = {Kuznetsov, S. and Obiedkov, S.},
  interhash = {8d58be3c9b7cec4767458436c70dc532},
  intrahash = {aac9dbdb8310f6b3db8bae76e434b314},
  journal = {Journal of Experimental and Theoretical Artificial Intelligence},
  pages = {189-216},
  title = {Comparing performance of algorithms for generating concept lattices},
  url = {/brokenurl#citeseer.ist.psu.edu/666686.html},
  volume = 14,
  year = 2002
}

@inproceedings{wille94plaedoyer,
  address = {Mannheim},
  author = {Wille, Rudolf},
  booktitle = {Begriffliche Wissensverarbeitung -- Grundfragen und Aufgaben},
  editor = {Wille, R. and Zickwolff, M.},
  interhash = {3d247c54b3ed4d35266336fc305665e1},
  intrahash = {4423251a98a4bba43a7ffa89c108a3fd},
  journal = {B. I. -Wissenschaftsverlag},
  pages = {11-25},
  publisher = {B. I. -Wissenschaftsverlag},
  title = {{Plädoyer für eine philosophische Grundlegung der Begrifflichen Wissensverarbeitung}},
  year = 1994
}

@article{keyhere,
  abstract = {The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we present GALOIS, a system that automates and applies this theory. The algorithm utilized by GALOIS to build a concept lattice is incremental and efficient, each update being done in time at most quadratic in the number of objects in the lattice. Also, the algorithm may incorporate background information into the lattice, and through clustering, extend the scope of the theory. The application we present is concerned with information retrieval via browsing, for which we argue that concept lattices may represent major support structures. We describe a prototype user interface for browsing through the concept lattice of a document-term relation, possibly enriched with a thesaurus of terms. An experimental evaluation of the system performed on a medium-sized bibliographic database shows good retrieval performance and a significant improvement after the introduction of background knowledge.
ER  -},
  author = {Carpineto, Claudio and Romano, Giovanni},
  interhash = {719ac1badf95acafafbd1487d82ae175},
  intrahash = {a53905954aeef0a80ec7424f978bca14},
  journal = {Machine Learning},
  month = {#aug#},
  number = 2,
  pages = {95--122},
  title = {A lattice conceptual clustering system and its application to browsing retrieval},
  url = {http://dx.doi.org/10.1007/BF00058654},
  volume = 24,
  year = 1996
}

@inproceedings{stumme2004iceberg,
  address = {Heidelberg},
  author = {Stumme, Gerd},
  booktitle = {Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004)},
  comment = {alpha},
  editor = {Wolff, Karl Erich and Pfeiffer, Heather D. and Delugach, Harry S.},
  interhash = {5e81311b4e69d49a2f0aa7cd3f52b21d},
  intrahash = {70b05439d41b24c2476e9eba1f74ec87},
  pages = {109-125},
  publisher = {Springer},
  series = {LNCS},
  title = {Iceberg Query Lattices for Datalog},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/stumme2004iceberg.pdf},
  volume = 3127,
  year = 2004
}

@inproceedings{stumme98online,
  author = {Stumme, Gerd},
  booktitle = {Proc. 5th Intl. Conf. on Foundations of Data Organization (FODO'98)},
  editor = {Tanaka, K. and Ghandeharizadeh, S.},
  interhash = {94e6951daab896dd75d8716d2f1ae45d},
  intrahash = {1121c5fe44a16f5a84ad19dec2dc662d},
  month = {nov 12-13},
  note = {Short version of \cite{stumme00conceptual}},
  page = {318-331},
  pages = {117-126},
  title = {On-Line Analytical Processing with Conceptual Information Systems},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1998/FODO98.pdf},
  year = 1998
}

@inproceedings{stumme02formalconcept,
  address = {Heidelberg},
  author = {Stumme, G.},
  booktitle = {Conceptual Structures: Integration and Interfaces },
  comment = {alpha},
  editor = {Priss, U. and Corbett, D. and Angelova, G.},
  interhash = {7899fed6619172d566d69142f5bad03b},
  intrahash = {a5e66aef2e0adc6cc7eff677b36d0823},
  note = {Invited Talk, summary of \cite{stumme03offtonew}},
  pages = {2-19},
  publisher = {Springer},
  series = {LNAI},
  title = {Formal Concept Analysis on its Way from Mathematics to Computer Science},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/ICCS02.pdf},
  volume = 2393,
  year = 2002
}

@inproceedings{becker00conceptual,
  address = {Heidelberg},
  author = {Becker, K. and Stumme, G. and Wille, R. and Wille, U. and Zickwolff, M.},
  booktitle = {Knowledge Engineering and Knowledge Management. Methods, Models, and Tools.},
  comment = {alpha},
  editor = {Dieng, R. and Corby, O.},
  interhash = {dacb08013d9496d41d4f9f39bce7ecd1},
  intrahash = {8533101d55261b955b9ca6bca2cb73fc},
  pages = {352-365},
  publisher = {Springer},
  series = {LNAI},
  title = {Conceptual Information Systems Discussed Through an {IT}-Security Tool},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/EKAW00.pdf},
  volume = 1937,
  year = 2000
}

@article{jaeschke08discovering,
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  interhash = {cfca594f9dbe30694bfbcdeb40dc4e88},
  intrahash = {eb0bdaeab0aa5d4c528c97e2b10770b9},
  journal = {Journal of Web Semantics},
  number = 1,
  pages = {38-53},
  title = {Discovering Shared Conceptualizations in Folksonomies},
  url = {http://dx.doi.org/10.1016/j.websem.2007.11.004},
  volume = 6,
  year = 2008
}

@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{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
}