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Dipl.-Math. Tom Hanika

  • Universität Kassel, Fachgebiet Wissensverarbeitung
  • Wilhelmshöher Allee 73
  • 34121 Kassel (Germany)
  • Raum 0443
  • Telefon: +49 (0)561 804-6350
  • Fax: +49 (0)561 804-6259
  • Email:

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Tom Hanika

about me

My research at Kassel University includes Applied Algebra, Logic, Applied Geometric Analysis and Applied Topology, at the intersection of Knowledge Bases, Machine Learning, and Reasoning. Of particular interest to me are bipartite graph structures, their relation to formal concept analysis, and the application to social networks. Further interests include permutation patterns and their connection to series parallel partial orders as well as machine learning in general.
I am also a senior developer of the blue social bookmark and publication sharing system BibSonomy.



Borchmann, D.; Hanika, T. & Obiedkov, S. (2019), 'Probably approximately correct learning of Horn envelopes from queries', Discrete Applied Mathematics .
[BibTeX]  [Endnote] 

Hanika, T.; Marx, M. & Stumme, G. (2019), 'Discovering Implicational Knowledge in Wikidata' , arxiv:1902.00916; Accepted at ICFCA'19 .
[BibTeX]  [Endnote] 

Hanika, T.; Kibanov, M.; Kropf, J. & Laser, S. (2019), Ich denke, es ist wichtig zu verstehen, warum die Netzwerkanalyse jetzt populär und besonders interessant für die Forschung geworden ist., in Jonathan Kropf & Stefan Laser, ed., 'Digitale Bewertungspraktiken' , Springer, , pp. 165--188 .
[BibTeX]  [Endnote] 


Borchmann, D.; Hanika, T. & Obiedkov, S. (2018), 'Probably approximately correct learning of Horn envelopes from queries.', CoRR abs/1807.06149 .
[BibTeX]  [Endnote] 

Doerfel, S.; Hanika, T. & Stumme, G. (2018), Clones in Graphs., in Michelangelo Ceci; Nathalie Japkowicz; Jiming Liu; George A. Papadopoulos & Zbigniew W. Ras, ed., 'ISMIS' , Springer, , pp. 56-66 .
[BibTeX]  [Endnote] 

Doerfel, S.; Hanika, T. & Stumme, G. (2018), 'Clones in Social Networks', CoRR abs/1802.07849 .
[BibTeX]  [Endnote] 

Felde, M. & Hanika, T. (2018), 'Formal Context Generation using Dirichlet Distributions.', CoRR abs/1809.11160 .
[BibTeX]  [Endnote] 

Hanika, T.; Schneider, F. M. & Stumme, G. (2018), 'Intrinsic dimension and its application to association rules', CoRR abs/1805.05714 .
[BibTeX]  [Endnote] 

Hanika, T.; Schneider, F. M. & Stumme, G. (2018), 'Intrinsic dimension of concept lattices', CoRR abs/1801.07985 .
[BibTeX]  [Endnote] 

Hanika, T.; Schneider, F. M. & Stumme, G. (2018), 'Intrinsic Dimension of Geometric Data Sets' , cite arxiv:1801.07985Comment: v2: completely rewritten 28 pages, 3 figures, 2 tables .
[BibTeX]  [Endnote] 

Hanika, T.; Koyda, M. & Stumme, G. (2018), 'Relevant Attributes in Formal Contexts.', CoRR abs/1812.08868 .
[BibTeX]  [Endnote] 

Hanika, T. & Zumbrägel, J. (2018), Towards Collaborative Conceptual Exploration., in Peter Chapman; Dominik Endres & Nathalie Pernelle, ed., 'ICCS' , Springer, , pp. 120-134 .
[BibTeX]  [Endnote] 

Schäfermeier, B.; Hanika, T. & Stumme, G. (2018), 'Distances for WiFi Based Topological Indoor Mapping' , cite arxiv:1809.07405Comment: 10 pages, 6 figures .
[BibTeX]  [Endnote] 


Borchmann, D. & Hanika, T. (2017), Individuality in Social Networks , Springer International Publishing , Cham , pp. 19--40 .
[BibTeX]  [Endnote] 

Borchmann, D.; Hanika, T. & Obiedkov, S. (2017), On the Usability of Probably Approximately Correct Implication Bases., in Karell Bertet; Daniel Borchmann; Peggy Cellier & Sébastien Ferré, ed., 'ICFCA' , Springer, , pp. 72-88 .
[BibTeX]  [Endnote] 

Borchmann, D.; Hanika, T. & Obiedkov, S. (2017), 'On the Usability of Probably Approximately Correct Implication Bases.', CoRR abs/1701.00877 .
[BibTeX]  [Endnote] 

Hanika, T. & Zumbrägel, J. (2017), 'Towards Collaborative Conceptual Exploration.', CoRR abs/1712.08858 .
[BibTeX]  [Endnote] 


Atzmueller, M.; Hanika, T.; Stumme, G.; Schaller, R. & Ludwig, B. (2016), Social Event Network Analysis: Structure, Preferences, and Reality, in 'Proc. IEEE/ACM ASONAM' , IEEE Press, Boston, MA, USA .
[BibTeX]  [Endnote] 

Borchmann, D. & Hanika, T. (2016), Some Experimental Results on Randomly Generating Formal Contexts., in Marianne Huchard & Sergei Kuznetsov, ed., 'CLA' , CEUR-WS.org, , pp. 57-69 .
[BibTeX]  [Endnote] 


  • Subreviewer: 15th International Semantic Web Conference (ISWC 2016), October 16 - 21, Kobe, Japan.
  • Subreviewer: 2016 European Conference on Machine Learning and Principles and PKDD (ECMLPKDD 2016),
    September 19 - 23, 2016, Riva del Garda, Italy.
  • Subreviewer: 22nd Annual ACM SIGKDD Conference (KDD 2016), August 13 - 17, 2016, San Francisco, California.
  • Subreviewer: 13th International Conference on Concept Lattices and Their Applications (CLA 2016),
    July 18 - 22, 2016, Moscow, Russia.
  • Subreviewer: 13th Extended Semantic Web Conference (ESWC 2016), May 29 - June 17, 2016, Heraklion, Crete, Greece.
  • Subreviewer: 25th International World Wide Web Conference (WWW 2016), April 11 - 15, 2016, Montreal, Canada.


Sommersemester 2016
Wintersemester 2015


Accompanying my research, these are the projects I participate to.
  • Wiskidz

    The WISKIDZ project is is a joint project of the International Centre for Higher Education Research (INCHER-Kassel) and the Interdisciplinary Research Center for Information System Design (ITeG) at the University of Kassel, supported by the BMBF. It contributes to a better understanding of long-term developments in the recruiting behavior in public research and individual career paths after obtaining a doctoral degree. The analyses are based on dissertation data, which are supplemented by information on publications, patents and macro-economic data among others. Essentially the project aims to understand changes in recruiting behavior over time with a special focus put on disciplinary idiosyncrasies. We create and analyze genealogies of doctoral students and their advisors in selected fields (physics, electronics, management and medieval history) from 1945 to the present. Further the project probes into the interdependencies of academic and non-academic employment opportunities of young researchers.
  • BibSonomy

    BibSonomy is a scholarly social bookmarking system where researchers manage their collections of publications and web pages. BibSonomy is an open source project, continously developed by researchers in Kassel, Würzburg, and Hanover. Functioning as a test bed for recommendation and ranking algorithms, as well as through the publicly available datasets, containing traces of user behavior on the Web, BibSonomy has been the subject of various scientific studies.