@inproceedings{stumme01conceptualclustering,
  address = {Universität Dortmund 763},
  author = {Stumme, G. and Taouil, R. and Bastide, Y. and Lakhal, L.},
  booktitle = {Proc. GI-Fachgruppentreffen Maschinelles Lernen (FGML'01)},
  editor = {Klinkenberg, R. and Rüping, S. and Fick, A. and Henze, N. and Herzog, C. and Molitor, R. and Schröder, O.},
  interhash = {c99f2ae002435208c58f9244d298a10b},
  intrahash = {f4ec21d5f63dbc213a3a6eae076c4b62},
  month = {October},
  title = {Conceptual Clustering with Iceberg Concept Lattices},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/FGML01.pdf},
  year = 2001
}

@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
}

@inproceedings{doerfel2012publication,
  abstract = {We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
},
  address = {Berlin/Heidelberg},
  author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
  booktitle = {ICFCA 2012},
  editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
  interhash = {f34f31e8dd1e07b1b0a5ab688f10084a},
  intrahash = {0ac1296af204a499490bf61a48d03e48},
  pages = {77--95},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Publication Analysis of the Formal Concept Analysis Community},
  url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf},
  volume = 7278,
  year = 2012
}

@article{obiedkov2009building,
  abstract = {The use of lattice-based access control models has been somewhat restricted by their complexity. We argue that attribute exploration from formal concept analysis can help create lattice models of manageable size, while making it possible for the system designer to better understand dependencies between different security categories in the domain and, thus, providing certain guarantees for the relevance of the constructed model to a particular application. In this paper, we introduce the method through an example.},
  author = {Obiedkov, Sergei and Kourie, Derrick G. and Eloff, J.H.P.},
  doi = {10.1016/j.cose.2008.07.011},
  interhash = {367ceb95cd5e3964aa2d7d00ad21da09},
  intrahash = {7be2b4bf0987c4d18adf7243eae690c0},
  issn = {0167-4048},
  journal = {Computers and Security},
  number = {1–2},
  pages = {2--7},
  title = {Building access control models with attribute exploration},
  url = {http://www.sciencedirect.com/science/article/pii/S0167404808000497},
  volume = 28,
  year = 2009
}

@inproceedings{baader2007completing,
  abstract = {We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the knowledge base and by a domain expert. The use of techniques from Formal Concept Analysis ensures that, on the one hand, the interaction with the expert is kept to a minimum, and, on the other hand, we can show that the extended knowledge base is complete in a certain, well-defined sense.},
  acmid = {1625311},
  address = {San Francisco, CA, USA},
  author = {Baader, Franz and Ganter, Bernhard and Sertkaya, Baris and Sattler, Ulrike},
  booktitle = {Proceedings of the 20th international joint conference on Artifical intelligence},
  interhash = {8ab382f3aa141674412ba7ad33316a9b},
  intrahash = {87f98ae486014ba78690ffa314b67da8},
  location = {Hyderabad, India},
  numpages = {6},
  pages = {230--235},
  publisher = {Morgan Kaufmann Publishers Inc.},
  title = {Completing description logic knowledge bases using formal concept analysis},
  url = {http://dl.acm.org/citation.cfm?id=1625275.1625311},
  year = 2007
}

@book{koester2006fooca,
  abstract = {This book deals with Formal Concept Analysis (FCA) and its application to Web Information Retrieval. It explains how Web search results retrieved by major Web search engines such as Google or Yahoo can be conceptualized leading to a human-oriented form of representation. A generalization of Web search results is conducted, leading to an FCA-based introduction of FooCA. FooCA is an application in the field of Conceptual Knowledge Processing and supports the idea of a holistic representation of Web Information Retrieval.},
  address = {Mühltal},
  author = {Koester, Bjoern},
  interhash = {fe53b2b1fa6be34259647954fca36bf8},
  intrahash = {5571d950ada3ee1892e5c043ac438271},
  publisher = {Verlag Allgemeine Wissenschaft},
  series = {Beiträge zur begrifflichen Wissensverarbeitung},
  title = {FooCA: web information retrieval with formal concept analysis},
  url = {http://www.bjoern-koester.de/fooca/web_information_retrieval_with_formal_concept_analysis.html},
  year = 2006
}

@article{poelmans2012semiautomated,
  abstract = {We propose an iterative and human-centred knowledge discovery methodology based on formal concept analysis. The proposed approach recognizes the important role of the domain expert in mining real-world enterprise applications and makes use of specific domain knowledge, including human intelligence and domain-specific constraints. Our approach was empirically validated at the Amsterdam-Amstelland police to identify suspects and victims of human trafficking in 266,157 suspicious activity reports. Based on guidelines of the Attorney Generals of the Netherlands, we first defined multiple early warning indicators that were used to index the police reports. Using concept lattices, we revealed numerous unknown human trafficking and loverboy suspects. In-depth investigation by the police resulted in a confirmation of their involvement in illegal activities resulting in actual arrestments been made. Our human-centred approach was embedded into operational policing practice and is now successfully used on a daily basis to cope with the vastly growing amount of unstructured information.},
  author = {Poelmans, Jonas and Elzinga, Paul and Ignatov, Dmitry I. and Kuznetsov, Sergei O.},
  doi = {10.1080/03081079.2012.721662},
  eprint = {http://www.tandfonline.com/doi/pdf/10.1080/03081079.2012.721662},
  interhash = {18d6f6312af57cc72d7e26de4903dc9f},
  intrahash = {9bb41c50dd5333f94a807482489c0732},
  journal = {International Journal of General Systems},
  number = 8,
  pages = {774--804},
  title = {Semi-automated knowledge discovery: identifying and profiling human trafficking},
  url = {http://www.tandfonline.com/doi/abs/10.1080/03081079.2012.721662},
  volume = 41,
  year = 2012
}

@incollection{becker2000conceptual,
  abstract = {Conceptual Information Systems are based on a formalization of the concept of ‘concept’ as it is discussed in traditional philosophical logic. This formalization supports a human-centered approach to the development of Information Systems. We discuss this approach by means of an implemented Conceptual Information System for supporting IT security management in companies and organizations.},
  address = {Berlin/Heidelberg},
  affiliation = {Entrust Technologies (Switzerland) Ltd liab. Co Glatt Tower CH-8301 Glattzentrum Switzerland},
  author = {Becker, Klaus and Stumme, Gerd and Wille, Rudolf and Wille, Uta and Zickwolff, Monika},
  booktitle = {Knowledge Engineering and Knowledge Management Methods, Models, and Tools},
  doi = {10.1007/3-540-39967-4_27},
  editor = {Dieng, Rose and Corby, Olivier},
  interhash = {dacb08013d9496d41d4f9f39bce7ecd1},
  intrahash = {283f8a780ac47746cc3031ad47bfdf9c},
  isbn = {978-3-540-41119-2},
  keyword = {Computer Science},
  pages = {352--365},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Information Systems Discussed through an IT-Security Tool},
  url = {http://dx.doi.org/10.1007/3-540-39967-4_27},
  volume = 1937,
  year = 2000
}

@incollection{stumme1998conceptual,
  abstract = {In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge Processing (cf. [29],[30]). 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 18 years. This approach relies on the pragmatic philosophy of Ch.S. Peirce [15] who claims that we can only analyze and argue within restricted contexts where we always rely on pre-knowledge and common sense. The development of Formal Concept Analysis led to the software system TOSCANA, which is presented as a CKDD tool in this paper. TOSCANA is a flexible navigation tool that allows dynamic browsing through and zooming into the data. It supports the exploration of large databases by visualizing conceptual aspects inherent to the data. We want to clarify that CKDD can be understood as a human-centered approach of Knowledge Discovery in Databases. The actual discussion about human-centered Knowledge Discovery is therefore briefly summarized in Section 1.},
  address = {Berlin/Heidelberg},
  affiliation = {Technische Universität Darmstadt Fachbereich Mathematik D-64289 Darmstadt Germany D-64289 Darmstadt Germany},
  author = {Stumme, Gerd and Wille, Rudolf and Wille, Uta},
  booktitle = {Principles of Data Mining and Knowledge Discovery},
  doi = {10.1007/BFb0094849},
  editor = {Zytkow, Jan and Quafafou, Mohamed},
  interhash = {5ef89b6f8fb22f9d24eda7da71b8bdb1},
  intrahash = {a9859c988f19684b76dc5a3f24e8278e},
  isbn = {978-3-540-65068-3},
  keyword = {Computer Science},
  pages = {450--458},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Knowledge Discovery in Databases using formal concept analysis methods},
  url = {http://dx.doi.org/10.1007/BFb0094849},
  volume = 1510,
  year = 1998
}

@inproceedings{pavlovic2012quantitative,
  abstract = {Formal Concept Analysis (FCA) begins from a context, given as a binary relation between some objects and some attributes, and derives a lattice of concepts, where each concept is given as a set of objects and a set of attributes, such that the first set consists of all objects that satisfy all attributes in the second, and vice versa. Many applications, though, provide contexts with quantitative information, telling not just whether an object satisfies an attribute, but also quantifying this satisfaction. Contexts in this form arise as rating matrices in recommender systems, as occurrence matrices in text analysis, as pixel intensity matrices in digital image processing, etc. Such applications have attracted a lot of attention, and several numeric extensions of FCA have been proposed. We propose the framework of proximity sets (proxets), which subsume partially ordered sets (posets) as well as metric spaces. One feature of this approach is that it extracts from quantified contexts quantified concepts, and thus allows full use of the available information. Another feature is that the categorical approach allows analyzing any universal properties that the classical FCA and the new versions may have, and thus provides structural guidance for aligning and combining the approaches.},
  address = {Berlin/Heidelberg},
  author = {Pavlovic, Dusko},
  booktitle = {ICFCA 2012},
  editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
  ee = {http://arxiv.org/abs/1204.5802},
  interhash = {601aaf1dbcb15e8872109be6f4a1a5d8},
  intrahash = {a0c8122fe1a490e82129a24e042b371d},
  issn = {0302-9743},
  pages = {260--277},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Quantitative Concept Analysis},
  volume = 7278,
  year = 2012
}

@inproceedings{doerfel2012publication,
  abstract = {We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
},
  address = {Berlin/Heidelberg},
  author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
  booktitle = {ICFCA 2012},
  editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
  interhash = {f34f31e8dd1e07b1b0a5ab688f10084a},
  intrahash = {0ac1296af204a499490bf61a48d03e48},
  pages = {77--95},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Publication Analysis of the Formal Concept Analysis Community},
  url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf},
  volume = 7278,
  year = 2012
}

@inproceedings{doerfel2012publication,
  abstract = {We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history. },
  address = {Berlin/Heidelberg},
  author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Formal Concept Analysis},
  doi = {10.1007/978-3-642-29892-9_12},
  editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
  interhash = {f34f31e8dd1e07b1b0a5ab688f10084a},
  intrahash = {9207cd4b1cf7d87c9ae959ac780e152c},
  isbn = {978-3-642-29891-2},
  month = may,
  pages = {77--95},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Publication Analysis of the Formal Concept Analysis Community},
  url = {http://link.springer.com/chapter/10.1007/978-3-642-29892-9_12},
  volume = 7278,
  year = 2012
}

@inproceedings{poelmans2011mining,
  abstract = {Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research. },
  author = {Poelmans, Jonas and Elzinga, Paul and Viaene, Stijn and Dedene, Guido and Kuznetsov, Sergei O.},
  booktitle = {Industrial Conference on Data Mining - Poster and Industry Proceedings},
  editor = {Perner, Petra},
  interhash = {b44d11ea5b5a4df8ee30a9c572d82051},
  intrahash = {164c37be60c1a47d1727ad9b82f01237},
  isbn = {978-3-942954-06-4},
  pages = {82--96},
  publisher = {IBaI Publishing},
  title = {Text Mining Scientific Papers: a Survey on {FCA}-based Information Retrieval Research.},
  url = {http://dblp.uni-trier.de/db/conf/incdm/incdm2011p.html#PoelmansEVDK11},
  year = 2011
}

@incollection{poelmans2010formal,
  abstract = {In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing terms related to FCA research. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.},
  address = {Berlin/Heidelberg},
  author = {Poelmans, Jonas and Elzinga, Paul and Viaene, Stijn and Dedene, Guido},
  booktitle = {Conceptual Structures: From Information to Intelligence},
  doi = {10.1007/978-3-642-14197-3_15},
  editor = {Croitoru, Madalina and Ferré, Sébastien and Lukose, Dickson},
  interhash = {713d63f847ff4b2cbf613fc0508eb31b},
  intrahash = {9694689a034cc02aae1e27114ca26a94},
  isbn = {978-3-642-14196-6},
  pages = {139--153},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Formal Concept Analysis in Knowledge Discovery: A Survey},
  url = {http://dx.doi.org/10.1007/978-3-642-14197-3_15},
  volume = 6208,
  year = 2010
}

@incollection{springerlink:10.1007/978-3-642-14197-3_15,
  abstract = {In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing terms related to FCA research. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.},
  address = {Berlin / Heidelberg},
  affiliation = {K.U.Leuven, Faculty of Business and Economics Naamsestraat 69 3000 Leuven Belgium},
  author = {Poelmans, Jonas and Elzinga, Paul and Viaene, Stijn and Dedene, Guido},
  booktitle = {Conceptual Structures: From Information to Intelligence},
  doi = {10.1007/978-3-642-14197-3_15},
  editor = {Croitoru, Madalina and Ferré, Sébastien and Lukose, Dickson},
  interhash = {713d63f847ff4b2cbf613fc0508eb31b},
  intrahash = {9694689a034cc02aae1e27114ca26a94},
  isbn = {978-3-642-14196-6},
  keyword = {Computer Science},
  pages = {139-153},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Formal Concept Analysis in Knowledge Discovery: A Survey},
  url = {http://dx.doi.org/10.1007/978-3-642-14197-3_15},
  volume = 6208,
  year = 2010
}

@article{wille1995basic,
  abstract = {Experiences with applications of concept lattices and the pragmatic philosophy founded by Ch. S. Peirce have suggested a triadic approach to formal concept analysis. It starts with the notion of a triadic context combining objects, attributes, and conditions under which objects may have certain attributes. The Basic Theorem of triadic concept analysis clarifies the class of structures which are formed by the triadic concepts of triadic contexts: These structures are exactly the complete trilattices up to isomorphism.},
  affiliation = {Fachbereich Mathematik Technishe Hochschule Darmstadt 64289 Darmstadt Germany},
  author = {Wille, Rudolf},
  doi = {10.1007/BF01108624},
  interhash = {c5223bed0a0995c5f3cd8962a9d54212},
  intrahash = {23959c014b9b6d46c93f45cf68e52294},
  issn = {0167-8094},
  journal = {Order},
  keyword = {Mathematics and Statistics},
  number = 2,
  pages = {149--158},
  publisher = {Springer Netherlands},
  title = {The Basic Theorem of triadic concept analysis},
  url = {http://dx.doi.org/10.1007/BF01108624},
  volume = 12,
  year = 1995
}

@inproceedings{daquin2011extracting,
  abstract = {With the rise of linked data, more and more semantically described information is being published online according to the principles and technologies of the Semantic Web (especially, RDF and SPARQL). The use of such standard technologies means that this data should be exploitable, integrable and reusable straight away. However, once a potentially interesting dataset has been discovered, significant efforts are currently required in order to understand its schema, its content, the way to query it and what it can answer. In this paper, we propose a method and a tool to automatically discover questions that can be answered by an RDF dataset. We use formal concept analysis to build a hierarchy of meaningful sets of entities from a dataset. These sets of entities represent answers, which common characteristics represent the clauses of the corresponding questions. This hierarchy can then be used as a querying interface, proposing questions of varying levels of granularity and specificity to the user. A major issue is however that thousands of questions can be included in this hierarchy. Based on an empirical analysis and using metrics inspired both from formal concept analysis and from ontology summarization, we devise an approach for identifying relevant questions to act as a starting point to the navigation in the question hierarchy.},
  acmid = {1999698},
  address = {New York, NY, USA},
  author = {d'Aquin, Mathieu and Motta, Enrico},
  booktitle = {Proceedings of the sixth international conference on Knowledge capture},
  doi = {10.1145/1999676.1999698},
  interhash = {7794150f2b42c21956eb7fb419ca0248},
  intrahash = {45374b975834248c0cd87022fc854e25},
  isbn = {978-1-4503-0396-5},
  location = {Banff, Alberta, Canada},
  numpages = {8},
  pages = {121--128},
  publisher = {ACM},
  title = {Extracting relevant questions to an RDF dataset using formal concept analysis},
  url = {http://doi.acm.org/10.1145/1999676.1999698},
  year = 2011
}

@inproceedings{tilley2007citation,
  abstract = {In this paper formal concept analysis (FCA) is used as a means to analyse afield of research using published academic papers as its input. In particular, results are presented based on a case study of 47 academic papers in a scientific field of study. The analysis includes inferences about the field of study based on the domain background knowledge derived from the ISO12207 software engineering standard. Additionally, a number of alternative classifications based on the target application language and the reported application size are introduced. FCA reveals useful insights about the nature of the subject matter: identifying fruitful areas of research as well as producing details about characteristics of the community under examination.},
  author = {Tilley, T. and Eklund, P.},
  booktitle = {18th International Workshop on Database and Expert Systems Applications (DEXA)},
  doi = {10.1109/DEXA.2007.59},
  interhash = {52fc9589299b48707ab9f22f995ecd17},
  intrahash = {5544eac0fd55b4862dde20cad8edc11a},
  issn = {1529-4188},
  month = sep,
  pages = {545--550},
  publisher = {IEEE Computer Society},
  title = {Citation Analysis using Formal Concept Analysis: A case study in Software Engineering},
  url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4312953&tag=1},
  year = 2007
}

@book{ganter2005formal,
  address = {Berlin/Heidelberg},
  doi = {10.1007/978-3-540-31881-1},
  editor = {Ganter, Bernhard and Stumme, Gerd and Wille, Rudolf},
  interhash = {171ebaf9a115bc54c00bf293d4fa75ed},
  intrahash = {18ace92c8d892a1d0f0e0fb72bd71832},
  isbn = {978-3-540-27891-7},
  issn = {1611-3349},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Formal Concept Analysis: Foundations and Applications},
  url = {http://dx.doi.org/10.1007/978-3-540-31881-1},
  volume = 3626,
  year = 2005
}

@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
}