@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 } @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 } @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 } @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 } @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 } @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{stumme03off, abstract = {In the last years, the main orientation of Formal Concept Analysis (FCA) has turned from mathematics towards computer science. This article provides a review of this new orientation and analyzes why and how FCA and computer science attracted each other. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis, Shrobe, and Szolovits (1993). It then studies how and why mathematics-based researchers got attracted by computer science. We will argue for continuing this trend by integrating the two research areas FCA and Ontology Engineering. The second part of the article discusses three lines of research which witness the new orientation of Formal Concept Analysis: FCA as a conceptual clustering technique and its application for supporting the merging of ontologies; the efficient computation of association rules and the structuring of the results; and the visualization and management of conceptual hierarchies and ontologies including its application in an email management system.}, author = {Stumme, G.}, comment = {alpha}, interhash = {230f52a01e0807b91e2c36fb5610b1c6}, intrahash = {3ad5183ad5e15d93898a798bd5063194}, journal = {Intl. J. Human-Comuter Studies (IJHCS)}, month = {September}, number = 3, pages = {287-325}, title = {Off to New Shores -- Conceptual Knowledge Discovery and Processing}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/stumme2003off.pdf}, volume = 59, year = 2003 } @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 }