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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Ackermann, M., Berendt, B., Grobelnik, M., Hotho, A., Mladenic, D., Semeraro, G., Spiliopoulou, M., Stumme, G., Svatek, V. & van Someren, M. Semantics, Web and Mining 2006   book URL 
    BibTeX:
    @book{Semantic2006Ackermann,
      author = {Ackermann, Markus and Berendt, Bettina and Grobelnik, Marko and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and Svatek, Vojtech and van Someren, Maarten},
      title = {Semantics, Web and Mining},
      year = {2006},
      url = {http://dx.doi.org/10.1007/11908678}
    }
    
    Workshop on Web Mining 2006 (WebMine) 2006   proceedings URL 
    BibTeX:
    @proceedings{berendt2006webmining,,
      title = {Workshop on Web Mining 2006 (WebMine)},
      year = {2006},
      url = {http://www.kde.cs.uni-kassel.de/ws/webmine2006/pdf/WebMine2006.pdf}
    }
    
    Bloehdorn, S., Buntine, W. & Hotho, A. Introduction to the Special Issue 'Learning in Web Search' 2006 Informatica
    Vol. 30(2), pp. 141-141 
    article URL 
    BibTeX:
    @article{bloehdorn2006intro,
      author = {Bloehdorn, S. and Buntine, W. and Hotho, A.},
      title = {Introduction to the Special Issue 'Learning in Web Search'},
      journal = {Informatica},
      year = {2006},
      volume = {30},
      number = {2},
      pages = {141-141},
      url = {http://www.informatica.si/PDF/30-2/00_Introduction.pdf}
    }
    
    Bloehdorn, S. & Hotho, A. Boosting for Text Classification with Semantic Features 2006
    Vol. 3932Advances in Web Mining and Web Usage Analysis, pp. 149-166 
    incollection DOI URL 
    BibTeX:
    @incollection{bloehdorn2006boosting,
      author = {Bloehdorn, Stephan and Hotho, Andreas},
      title = {Boosting for Text Classification with Semantic Features},
      booktitle = {Advances in Web Mining and Web Usage Analysis},
      publisher = {Springer},
      year = {2006},
      volume = {3932},
      pages = {149--166},
      url = {http://dx.doi.org/10.1007/11899402_10},
      doi = {http://dx.doi.org/10.1007/11899402_10}
    }
    
    Bloehdorn, S., Cimiano, P. & Hotho, A. Learning Ontologies to Improve Text Clustering and Classification 2006 From Data and Information Analysis to Knowledge Engineering, pp. 334-341  incollection DOI URL 
    Abstract: Recent work has shown improvements in text clustering and classification tasks by integrating conceptual features extracted from ontologies. In this paper we present text mining experiments in the medical domain in which the ontological structures used are acquired automatically in an unsupervised learning process from the text corpus in question. We compare results obtained using the automatically learned ontologies with those obtained using manually engineered ones. Our results show that both types of ontologies improve results on text clustering and classification tasks, whereby the automatically acquired ontologies yield a improvement competitive with the manually engineered ones.
    -
    BibTeX:
    @incollection{bloehdorn2006learning,
      author = {Bloehdorn, Stephan and Cimiano, Philipp and Hotho, Andreas},
      title = {Learning Ontologies to Improve Text Clustering and Classification},
      booktitle = {From Data and Information Analysis to Knowledge Engineering},
      publisher = {Springer Berlin Heidelberg},
      year = {2006},
      pages = {334--341},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf},
      doi = {http://dx.doi.org/10.1007/3-540-31314-1_40}
    }
    
    Dellschaft, K. & Staab, S. On How to Perform a Gold Standard based Evaluation of Ontology Learning 2006 In: Proc. of ISWC-2006 International Semantic Web Conference  inproceedings URL 
    BibTeX:
    @inproceedings{dellschaft2006GoldEvalOntoLearn,
      author = {Dellschaft, Klaas and Staab, Steffen},
      title = {On How to Perform a Gold Standard based Evaluation of Ontology Learning},
      booktitle = {In: Proc. of ISWC-2006 International Semantic Web Conference},
      publisher = {Springer, LNCS},
      year = {2006},
      url = {http://iswc2006.semanticweb.org/items/paper_44.php}
    }
    
    Haase, P., Ehrig, M., Hotho, A. & Schnizler, B. Personalized Information Access in a Bibliographic Peer-to-Peer System 2006 Peer-to-Peer and SemanticWeb, Decentralized Management and Exchange of Knowledge and Information, pp. 143-158  incollection  
    BibTeX:
    @incollection{Haase04Personalized,
      author = {Haase, Peter and Ehrig, Marc and Hotho, Andreas and Schnizler, Björn},
      title = {Personalized Information Access in a Bibliographic Peer-to-Peer System},
      booktitle = {Peer-to-Peer and SemanticWeb, Decentralized Management and Exchange of Knowledge and Information},
      publisher = {Springer },
      year = {2006},
      pages = {143--158}
    }
    
    Hoser, B., Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Semantic Network Analysis of Ontologies 2006
    Vol. 4011Proceedings of the 3rd European Semantic Web Conference, pp. 514-529 
    inproceedings URL 
    BibTeX:
    @inproceedings{hoser2006semantic,
      author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Semantic Network Analysis of Ontologies},
      booktitle = {Proceedings of the 3rd European Semantic Web Conference},
      publisher = {Springer},
      year = {2006},
      volume = {4011},
      pages = {514-529},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/hoser_sna_eswc2005.pdf}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. BibSonomy: A Social Bookmark and Publication Sharing System 2006 Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, pp. 87-102  inproceedings URL 
    BibTeX:
    @inproceedings{hjss06bibsonomy,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {BibSonomy: A Social Bookmark and Publication Sharing System},
      booktitle = {Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures},
      year = {2006},
      pages = {87-102},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/iccs_tools_ws_final.pdf}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Emergent Semantics in BibSonomy 2006
    Vol. P-94Proc. Workshop on Applications of Semantic Technologies, Informatik 2006 
    inproceedings URL 
    BibTeX:
    @inproceedings{hotho2006emergent,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Emergent Semantics in BibSonomy},
      booktitle = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
      year = {2006},
      volume = {P-94},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. FolkRank: A Ranking Algorithm for Folksonomies 2006 Proc. FGIR 2006, pp. 111-114  inproceedings URL 
    Abstract: In social bookmark tools users are setting up
    ghtweight conceptual structures called folksonomies. Currently,
    e information retrieval support is limited. We present a formal
    del and a new search algorithm for folksonomies, called
    lkRank, that exploits the structure of the folksonomy. The
    oposed algorithm is also applied to find communities within the
    lksonomy and is used to structure search results. All findings are
    monstrated on a large scale dataset. A long version of this paper
    s been published at the European Semantic Web Conference
    06.
    BibTeX:
    @inproceedings{hotho2006folkrank,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {FolkRank: A Ranking Algorithm for Folksonomies},
      booktitle = {Proc. FGIR 2006},
      year = {2006},
      pages = {111-114},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006folkrank.pdf}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Information Retrieval in Folksonomies: Search and Ranking 2006
    Vol. 4011Proceedings of the 3rd European Semantic Web Conference , pp. 411-426 
    inproceedings URL 
    BibTeX:
    @inproceedings{hotho2006information,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Information Retrieval in Folksonomies: Search and Ranking},
      booktitle = {Proceedings of the 3rd European Semantic Web Conference },
      publisher = {Springer},
      year = {2006},
      volume = {4011},
      pages = {411-426},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Trend Detection in Folksonomies 2006
    Vol. 4306Proc. First International Conference on Semantics And Digital Media Technology (SAMT), pp. 56-70 
    inproceedings URL 
    BibTeX:
    @inproceedings{hotho06trend,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Trend Detection in Folksonomies},
      booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT)},
      publisher = {Springer},
      year = {2006},
      volume = {4306},
      pages = {56-70},
      url = {http://dblp.uni-trier.de/db/conf/samt/samt2006.html#HothoJSS06}
    }
    
    Jäschke, R., Hotho, A., Schmitz, C., Ganter, B. & Stumme, G. TRIAS - An Algorithm for Mining Iceberg Tri-Lattices 2006 Proc. 6th ICDM conference  inproceedings DOI  
    BibTeX:
    @inproceedings{trias2006jaeschke,
      author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
      title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
      booktitle = {Proc. 6th ICDM conference},
      year = {2006},
      doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}
    }
    
    Jäschke, R., Hotho, A., Schmitz, C. & Stumme, G. Wege zur Entdeckung von Communities in Folksonomies 2006 Proc. 18. Workshop Grundlagen von Datenbanken, pp. 80-84  inproceedings  
    BibTeX:
    @inproceedings{jaeschke06wege,
      author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd},
      title = {Wege zur Entdeckung von Communities in Folksonomies},
      booktitle = {Proc. 18. Workshop Grundlagen von Datenbanken},
      publisher = {Martin-Luther-Universität },
      year = {2006},
      pages = {80-84}
    }
    
    Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Content Aggregation on Knowledge Bases using Graph Clustering 2006
    Vol. 4011Proceedings of the 3rd European Semantic Web Conference, pp. 530-544 
    inproceedings URL 
    BibTeX:
    @inproceedings{schmitz2006content,
      author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
      title = {Content Aggregation on Knowledge Bases using Graph Clustering},
      booktitle = {Proceedings of the 3rd European Semantic Web Conference},
      publisher = {Springer},
      year = {2006},
      volume = {4011},
      pages = {530-544},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006sumarize_eswc.pdf}
    }
    
    Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Kollaboratives Wissensmanagement 2006 Semantic Web - Wege zur vernetzten Wissensgesellschaft, pp. 273-290  incollection URL 
    Abstract: Wissensmanagement in zentralisierten Wissensbasen erfordert
    nen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht
    mer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick
    er zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement
    ese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten
    nutzer dezentrale Wissensbasen, die dann vernetzt werden können, um
    dere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die
    ssensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in
    n Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.
    BibTeX:
    @incollection{schmitz2006kollaboratives,
      author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
      title = {Kollaboratives Wissensmanagement},
      booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft},
      publisher = {Springer},
      year = {2006},
      pages = {273-290},
      url = {http://www.semantic-web.at/springer/abstracts/3d_Schmitz_KollabWM.pdf}
    }
    
    Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Mining Association Rules in Folksonomies 2006 Data Science and Classification (Proc. IFCS 2006 Conference), pp. 261-270  inproceedings DOI URL 
    BibTeX:
    @inproceedings{schmitz2006mining,
      author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
      title = {Mining Association Rules in Folksonomies},
      booktitle = {Data Science and Classification (Proc. IFCS 2006 Conference)},
      publisher = {Springer},
      year = {2006},
      pages = {261-270},
      note = {Ljubljana},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006asso_ifcs.pdf},
      doi = {http://dx.doi.org/10.1007/3-540-34416-0_28}
    }
    
    Stumme, G., Hotho, A. & Berendt, B. Semantic Web Mining - State of the Art and Future Directions 2006 Journal of Web Semantics
    Vol. 4(2), pp. 124-143 
    article URL 
    Abstract: SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining.
    is survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on
    proving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining
    chniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic
    b itself.
    e Semantic Web is the second-generation WWW, enriched by machine-processable information which supports
    e user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of
    ese resources. Therefore, automated schemes for learning the relevant information are increasingly being used.
    b Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily
    ntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore,
    rmalizations of the semantics of Web sites and navigation behavior are becoming more and more common.
    rthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web
    ning and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not
    t realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer
    tegration could be profitable.
    BibTeX:
    @article{jws2006Semantic,
      author = {Stumme, Gerd and Hotho, Andreas and Berendt, Bettina},
      title = {Semantic Web Mining - State of the Art and Future Directions},
      journal = {Journal of Web Semantics},
      publisher = {Elsevier},
      year = {2006},
      volume = {4},
      number = {2},
      pages = {124-143},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/JWS2006SemanticWebMining.pdf}
    }
    
    Mejias, U.A. A del.icio.us study 2004   misc URL 
    BibTeX:
    @misc{mejiasdeli,
      author = {Mejias, Ulises Ali},
      title = {A del.icio.us study},
      year = {2004},
      url = {http://ideant.typepad.com/ideant/2004/12/a_delicious_stu.html}
    }
    

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