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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Illig, J., Hotho, A., Jäschke, R. & Stumme, G. A Comparison of content-based Tag Recommendations in Folksonomy Systems 2011 Postproceedings of the International Conference on Knowledge Processing in Practice (KPP 2007)   inproceedings  
BibTeX:
@inproceedings{illig2011comparison,
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  title = {A Comparison of content-based Tag Recommendations in Folksonomy Systems},
  booktitle = {Postproceedings of the International Conference on Knowledge Processing in Practice (KPP 2007)},
  publisher = {Springer},
  year = {2011}
}
Benz, D., Hotho, A., Jäschke, R., Krause, B. & Stumme, G. Query Logs as Folksonomies 2010 Datenbank-Spektrum   article URL  
Abstract: Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information ofquery logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph ofusers, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users addtags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on threecomparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typicalfolksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logsas well.
BibTeX:
@article{benz2010query,
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd},
  title = {Query Logs as Folksonomies},
  journal = {Datenbank-Spektrum},
  year = {2010},
  volume = {10},
  number = {1},
  pages = {15--24},
  url = {http://dx.doi.org/10.1007/s13222-010-0004-8}
}
Jäschke, R., Krause, B., Hotho, A. & Stumme, G. Logsonomy -- A Search Engine Folksonomy 2008 Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)   inproceedings URL  
Abstract: In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us.
BibTeX:
@inproceedings{jaeschke2008logsonomy,
  author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
  title = {Logsonomy -- A Search Engine Folksonomy},
  booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
  publisher = {AAAI Press},
  year = {2008},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}
}
Krause, B., Jäschke, R., Hotho, A. & Stumme, G. Logsonomy - Social Information Retrieval with Logdata 2008 HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia   inproceedings DOIURL  
Abstract: Social bookmarking systems constitute an established
rt of the Web 2.0. In such systems
ers describe bookmarks by keywords
lled tags. The structure behind these social
stems, called folksonomies, can be viewed
a tripartite hypergraph of user, tag and resource
des. This underlying network shows
ecific structural properties that explain its
owth and the possibility of serendipitous
ploration.
day’s search engines represent the gateway
retrieve information from the World Wide
b. Short queries typically consisting of
o to three words describe a user’s information
ed. In response to the displayed
sults of the search engine, users click on
e links of the result page as they expect
e answer to be of relevance.
is clickdata can be represented as a folksonomy
which queries are descriptions of
icked URLs. The resulting network structure,
ich we will term logsonomy is very
milar to the one of folksonomies. In order
find out about its properties, we analyze
e topological characteristics of the tripartite
pergraph of queries, users and bookmarks
a large snapshot of del.icio.us and
query logs of two large search engines.
l of the three datasets show small world
operties. The tagging behavior of users,
ich is explained by preferential attachment
the tags in social bookmark systems, is
flected in the distribution of single query
rds in search engines. We can conclude
at the clicking behaviour of search engine
ers based on the displayed search results
d the tagging behaviour of social bookmarking
ers is driven by similar dynamics.
BibTeX:
@inproceedings{krause2008logsonomy,
  author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
  title = {Logsonomy - Social Information Retrieval with Logdata},
  booktitle = {HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia},
  publisher = {ACM},
  year = {2008},
  pages = {157--166},
  url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia},
  doi = {http://doi.acm.org/10.1145/1379092.1379123}
}
Krause, B., Schmitz, C., Hotho, A. & Stumme, G. The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems 2008 Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web   inproceedings URL  
BibTeX:
@inproceedings{krause2008antisocialb,
  author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd},
  title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
  booktitle = {Proc. of the Fourth International Workshop on  Adversarial Information Retrieval on the Web},
  year = {2008},
  url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}
}
Cattuto, C., Schmitz, C., Baldassarri, A., Servedio, V. D. P., Loreto, V., Hotho, A., Grahl, M. & Stumme, G. Network Properties of Folksonomies 2007 AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''   article URL  
BibTeX:
@article{cattuto2007networkb,
  author = {Cattuto, Ciro and Schmitz, Christoph and Baldassarri, Andrea and Servedio, Vito D. P. and Loreto, Vittorio and Hotho, Andreas and Grahl, Miranda and Stumme, Gerd},
  title = {Network Properties of Folksonomies},
  journal = {AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''},
  publisher = {IOS Press},
  year = {2007},
  volume = {20},
  number = {4},
  pages = {245-262},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/cattuto2007network.pdf}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmark Sites 2007 Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)   inproceedings URL  
BibTeX:
@inproceedings{grahl07conceptualKdml,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmark Sites},
  booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  year = {2007},
  pages = {50-54},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmarking Sites 2007 7th International Conference on Knowledge Management (I-KNOW '07)   inproceedings URL  
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of thesystem, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
BibTeX:
@inproceedings{grahl2007conceptuala,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmarking Sites},
  booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
  publisher = {Know-Center},
  year = {2007},
  pages = {356-364},
  url = {http://www.tagora-project.eu/wp-content/2007/06/grahl_iknow07.pdf}
}
Jaeschke, R., Marinho, L., Hotho, A., Schmidt-Thieme, L. & Stumme, G. Tag Recommendations in Folksonomies 2007 Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)   inproceedings URL  
BibTeX:
@inproceedings{jaeschke07tagKdml,
  author = {Jaeschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  title = {Tag Recommendations in Folksonomies},
  booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  year = {2007},
  pages = {13-20},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf}
}
Jäschke, R., Hotho, A., Schmitz, C. & Stumme, G. Analysis of the Publication Sharing Behaviour in BibSonomy 2007 Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)   inproceedings  
Abstract: BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.
BibTeX:
@inproceedings{jaeschke2007analysis,
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd},
  title = {Analysis of the Publication Sharing Behaviour in {BibSonomy}},
  booktitle = {Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)},
  publisher = {Springer-Verlag},
  year = {2007},
  volume = {4604},
  pages = {283--295}
}
Schmitz, C., Grahl, M., Hotho, A., Stumme, G., Catutto, C., Baldassarri, A., Loreto, V. & Servedio, V. D. P. Network Properties of Folksonomies 2007 Proc. WWW2007 Workshop ``Tagging and Metadata for Social Information Organization''   inproceedings URL  
BibTeX:
@inproceedings{schmitz07network,
  author = {Schmitz, Christoph and Grahl, Miranda and Hotho, Andreas and Stumme, Gerd and Catutto, Ciro and Baldassarri, Andrea and Loreto, Vittorio and Servedio, Vito D. P.},
  title = {Network Properties of Folksonomies},
  booktitle = {Proc. WWW2007 Workshop ``Tagging and Metadata for Social Information Organization''},
  year = {2007},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/schmitz07network.pdf}
}
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Emergent Semantics in BibSonomy 2006 Informatik 2006 -- Informatik für Menschen. Band 2   inproceedings URL  
Abstract: Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. In thispaper we specify a formal model for folksonomies, briefly describeour own system BibSonomy, which allows for sharing both bookmarks andpublication references, and discuss first steps towards emergent semantics.
BibTeX:
@inproceedings{hotho2006emergent,
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  title = {Emergent Semantics in BibSonomy},
  booktitle = {Informatik 2006 -- Informatik für Menschen. Band 2},
  publisher = {Gesellschaft für Informatik},
  year = {2006},
  volume = {P-94},
  note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf}
}
Hotho, A., J?schke, R., Schmitz, C. & Stumme, G. Information Retrieval in Folksonomies: Search and Ranking 2006 The Semantic Web: Research and Applications   inproceedings  
BibTeX:
@inproceedings{hotho2006information,
  author = {Hotho, Andreas and J?schke, Robert and Schmitz, Christoph and Stumme, Gerd},
  title = {Information Retrieval in Folksonomies: Search and Ranking},
  booktitle = {The Semantic Web: Research and Applications},
  publisher = {Springer},
  year = {2006},
  volume = {4011},
  pages = {411-426}
}
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Information Retrieval in Folksonomies: Search and Ranking 2006 The Semantic Web: Research and Applications   inproceedings  
BibTeX:
@inproceedings{hotho2006information,
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  title = {Information Retrieval in Folksonomies: Search and Ranking},
  booktitle = {The Semantic Web: Research and Applications},
  publisher = {Springer},
  year = {2006},
  volume = {4011},
  pages = {411-426}
}
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Trend Detection in Folksonomies 2006 Proc. First International Conference on Semantics And Digital Media Technology (SAMT)   inproceedings URL  
Abstract: As the number of resources on the web exceeds by far the number ofdocuments one can track, it becomes increasingly difficult to remainup to date on ones own areas of interest. The problem becomes moresevere with the increasing fraction of multimedia data, from whichit is difficult to extract some conceptual description of theircontents.One way to overcome this problem are social bookmark tools, whichare rapidly emerging on the web. In such systems, users are settingup lightweight conceptual structures called folksonomies, andovercome thus the knowledge acquisition bottleneck. As more and morepeople participate in the effort, the use of a common vocabularybecomes more and more stable. We present an approach for discoveringtopic-specific trends within folksonomies. It is based on adifferential adaptation of the PageRank algorithm to the triadichypergraph structure of a folksonomy. The approach allows for anykind of data, as it does not rely on the internal structure of thedocuments. In particular, this allows to consider different datatypes in the same analysis step. We run experiments on a large-scalereal-world snapshot of a social bookmarking system.
BibTeX:
@inproceedings{hotho2006trend,
  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://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf}
}
Jäschke, R., Hotho, A., Schmitz, C., Ganter, B. & Stumme, G. TRIAS - An Algorithm for Mining Iceberg Tri-Lattices 2006 Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)   inproceedings DOIURL  
BibTeX:
@inproceedings{jaeschke06trias,
  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 = {Proceedings of the 6th IEEE International Conference on Data Mining     (ICDM 06)},
  publisher = {IEEE Computer Society},
  year = {2006},
  pages = {907-911},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006trias.pdf},
  doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}
}
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Mining Association Rules in Folksonomies 2006 Data Science and Classification: Proc. of the 10th IFCS Conf.   inproceedings  
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. of the 10th IFCS Conf.},
  publisher = {Springer},
  year = {2006},
  pages = {261--270}
}

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