DMIR Research Group

    Prof. Dr. Andreas Hotho

    Head of the DMIR Research Group

    Julius-Maximilians-Universität Würzburg DMIR Group, Chair VI, Computer Science
    Am Hubland
    D-97074 Würzburg

    Raum:  B012 (Computer Science Building)
    Tel:      +49 931 / 31 - 88453
    Fax:     +49 931 / 31 - 86732
    hotho ..at.. informatik.uni-wuerzburg.de

    About me

    I am a professor at the University of Würzburg and the head of the DMIR group. In this context I am directing the BibSonomy project and the DMIR group.

    Prior, I was a senior researcher at the University of Kassel. I started my research at the AIFB Institute at the University of Karlsruhe where I was working on text mining, ontology learning and semantic web related topics. My previous work also involved directing the L3S Research Center located in Hanover and the KDE group of the University of Kassel.

    Research interests

    Currently, I am working in the area of data science, data mining, semantic web mining and social media analysis.




    • Best paper award: “Philipp Singer, Denis Helic, Andreas Hotho and Markus Strohmaier, HypTrails: A Bayesian Approach for Comparing Hypotheses About Human Trails on the Web” at WWW Conference 2015 (link)
    • Honorable mention of the paper: “Ciro Cattuto, Dominik Benz, Andreas Hotho and Gerd Stumme, Semantic Grounding of Tag Relatedness in Social Bookmarking Systems” at ISWC 2008 (link)
    • The 7 years most influential paper award: “Information Retrieval in Folksonomies: Search and Ranking”, Andreas Hotho, Robert Jäschke, Christoph Schmitz, Gerd Stumme at ESWC 2013 (link)

    Selected Publications

    • Participatory Patterns in... - Download
      Participatory Patterns in an International Air Quality Monitoring Initiative.Sîrbu, Alina; Becker, Martin; Caminiti, Saverio; De Baets, Bernard; Elen, Bart; Francis, Louise; Gravino, Pietro; Hotho, Andreas; Ingarra, Stefano; Loreto, Vittorio; Molino, Andrea; Mueller, Juergen; Peters, Jan; Ricchiuti, Ferdinando; Saracino, Fabio; Servedio, Vito D. P.; Stumme, Gerd; Theunis, Jan; Tria, Francesca; Van den Bossche, Joris in PLoS ONE (2015). 10(8) e0136763.
    • Hyptrails: A bayesian app... - Download
      Hyptrails: A bayesian approach for comparing hypotheses about human trails.Singer, P.; Helic, D.; Hotho, A.; Strohmaier, M. (2015).
    • Awareness and Learning in... - Download
      Awareness and Learning in Participatory Noise Sensing.Becker, Martin; Caminiti, Saverio; Fiorella, Donato; Francis, Louise; Gravino, Pietro; Haklay, Mordechai (Muki); Hotho, Andreas; Loreto, Vittorio; Mueller, Juergen; Ricchiuti, Ferdinando; Servedio, Vito D. P.; Sîrbu, Alina; Tria, Francesca in PLoS ONE (2013). 8(12) e81638.
    • Collective Information Ex... - Download
      Collective Information Extraction with Context-Specific Consistencies.Klügl, Peter; Toepfer, Martin; Lemmerich, Florian; Hotho, Andreas; Puppe, Frank in Lecture Notes in Computer Science, P. A. Flach, Bie, T. D., Cristianini, N. (eds.) (2012). (Vol. 7523) 728-743.
    • The Social Bookmark and P... - Download
      The Social Bookmark and Publication Management System BibSonomy.Benz, Dominik; Hotho, Andreas; Jäschke, Robert; Krause, Beate; Mitzlaff, Folke; Schmitz, Christoph; Stumme, Gerd in The VLDB Journal (2010). 19(6) 849--875.
    • Tag Recommendations in So... - Download
      Tag Recommendations in Social Bookmarking Systems.Jäschke, Robert; Marinho, Leandro; Hotho, Andreas; Schmidt-Thieme, Lars; Stumme, Gerd in AI Communications, (E. Giunchiglia, ed.) (2008). 21(4) 231-247.
    • Learning Ontologies to Im... - Download
      Learning Ontologies to Improve Text Clustering and Classification.Bloehdorn, Stephan; Cimiano, Philipp; Hotho, Andreas in From Data and Information Analysis to Knowledge Engineering (2006). 334--341.
    • Learning Concept Hierarch... - Download
      Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis.Cimiano, Philipp; Hotho, Andreas; Staab, Steffen in Journal on Artificial Intelligence Research (2005). 24 305-339.