Conference articles
A Comparison of Content-Based Tag Recommendations in Folksonomy Systems.
In: K. E. Wolff, D. E. Palchunov, N. G. Zagoruiko and U. Andelfinger, editors,
Knowledge Processing and Data Analysis, volume 6581, series Lecture Notes in Computer Science, pages 136-149.
Springer, Berlin/Heidelberg, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset.
A Comparison of content-based Tag Recommendations in Folksonomy Systems.
In:
Postproceedings of the International Conference on Knowledge Processing in Practice (KPP 2007).
Springer, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[BibTeX]
Book chapters
Social Bookmarking am Beispiel BibSonomy.
In:
A. Blumauer and T. Pellegrini, editors,
Social Semantic Web, chapter 18, pages 363-391.
Springer, Berlin, Heidelberg, 2009.
Andreas Hotho, Robert Jäschke, Dominik Benz, Miranda Grahl, Beate Krause, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitung der Universität Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalität, die dahinter stehende Architektursowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der in BibSonomy und ähnlichen Systemen enthaltenen Daten ein.
Conference articles
Evaluating Similarity Measures for Emergent Semantics of Social Tagging.
In:
18th International World Wide Web Conference, pages 641-650.
2009.
Benjamin Markines, Ciro Cattuto, Filippo Menczer, Dominik Benz, Andreas Hotho and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.
Journal articles
Network Properties of Folksonomies.
AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'', 20(4):245-262, 2007.
Ciro Cattuto, Christoph Schmitz, Andrea Baldassarri, Vito D. P. Servedio, Vittorio Loreto, Andreas Hotho, Miranda Grahl and Gerd Stumme.
[doi]
[BibTeX]
Network Properties of Folksonomies.
AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'', 20(4):245-262, 2007.
Ciro Cattuto, Christoph Schmitz, Andrea Baldassarri, Vito D. P. Servedio, Vittorio Loreto, Andreas Hotho, Miranda Grahl and Gerd Stumme.
[doi]
[BibTeX]
Network Properties of Folksonomies.
AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'', 20(4):245-262, 2007.
Ciro Cattuto, Christoph Schmitz, Andrea Baldassarri, Vito D. P. Servedio, Vittorio Loreto, Andreas Hotho, Miranda Grahl and Gerd Stumme.
[doi]
[BibTeX]
Conference articles
Organizing Publications and Bookmarks in BibSonomy.
In: H. Alani, N. Noy, G. Stumme, P. Mika, Y. Sure and D. Vrandecic, editors,
Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007.
Banff, Canada, 2007.
Robert Jäschke, Miranda Grahl, Andreas Hotho, Beate Krause, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
Organizing Publications and Bookmarks in BibSonomy.
In: H. Alani, N. Noy, G. Stumme, P. Mika, Y. Sure and D. Vrandecic, editors,
Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007.
Banff, Canada, 2007.
Robert Jäschke, Miranda Grahl, Andreas Hotho, Beate Krause, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
Organizing Publications and Bookmarks in BibSonomy.
In: H. Alani, N. Noy, G. Stumme, P. Mika, Y. Sure and D. Vrandecic, editors,
Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007.
Banff, Canada, 2007.
Robert Jäschke, Miranda Grahl, Andreas Hotho, Beate Krause, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
Organizing Publications and Bookmarks in BibSonomy.
In: H. Alani, N. Noy, G. Stumme, P. Mika, Y. Sure and D. Vrandecic, editors,
Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007.
Banff, Canada, 2007.
Robert Jäschke, Miranda Grahl, Andreas Hotho, Beate Krause, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
BibSonomy: A Social Bookmark and Publication Sharing System.
In: A. de Moor, S. Polovina and H. Delugach, editors,
Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, pages 87-102.
Aalborg Universitetsforlag, Aalborg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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 and briefly describe our own system BibSonomy, which allows for sharing both bookmarksand publication references in a kind of personal library.
BibSonomy: A Social Bookmark and Publication Sharing System.
In: A. de Moor, S. Polovina and H. Delugach, editors,
Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, pages 87-102.
Aalborg Universitetsforlag, Aalborg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. The reason for their immediate success is the
fact that no specific skills are needed for participating. In this
paper we specify a formal model for folksonomies and briefly describe
our own system BibSonomy, which allows for sharing both bookmarks
and publication references in a kind of personal library.
Emergent Semantics in BibSonomy.
In: C. Hochberger and R. Liskowsky, editors,
Informatik 2006 - Informatik für Menschen. Band 2, volume P-94, series Lecture Notes in Informatics.
Gesellschaft für Informatik, Bonn, 2006.
Proc. Workshop on Applications of Semantic Technologies, Informatik 2006
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Emergent Semantics in BibSonomy.
In: C. Hochberger and R. Liskowsky, editors,
Informatik 2006 - Informatik für Menschen. Band 2, volume P-94, series Lecture Notes in Informatics.
Gesellschaft für Informatik, Bonn, 2006.
Proc. Workshop on Applications of Semantic Technologies, Informatik 2006
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Emergent Semantics in BibSonomy.
In: C. Hochberger and R. Liskowsky, editors,
Informatik 2006 - Informatik für Menschen. Band 2, volume P-94, series Lecture Notes in Informatics.
Gesellschaft für Informatik, Bonn, 2006.
Proc. Workshop on Applications of Semantic Technologies, Informatik 2006
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. The reason for their immediate success is the
fact that no specific skills are needed for participating. In this
paper we specify a formal model for folksonomies, briefly describe
our own system BibSonomy,
which allows for sharing both bookmarks and
publication references,
and discuss first steps towards emergent semantics.
Trend Detection in Folksonomies.
In: Y. S. Avrithis, Y. Kompatsiaris, S. Staab and N. E. O'Connor, editors,
Proc. First International Conference on Semantics And Digital Media Technology (SAMT) , volume 4306, series LNCS, pages 56-70.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Trend Detection in Folksonomies.
In: Y. S. Avrithis, Y. Kompatsiaris, S. Staab and N. E. O'Connor, editors,
Proc. First International Conference on Semantics And Digital Media Technology (SAMT) , volume 4306, series LNCS, pages 56-70.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Trend Detection in Folksonomies.
In: Y. S. Avrithis, Y. Kompatsiaris, S. Staab and N. E. O'Connor, editors,
Proc. First International Conference on Semantics And Digital Media Technology (SAMT) , volume 4306, series LNCS, pages 56-70.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
As the number of resources on the web exceeds by far the number of documents one can track, it becomes increasingly difficult to remain up to date on ones own areas of interest. The problem becomes more severe with the increasing fraction of multimedia data, from which it is difficult to extract some conceptual description of their contents. One way to overcome this problem are social bookmark tools, which are rapidly emerging on the web. In such systems, users are setting up lightweight conceptual structures called folksonomies, and overcome thus the knowledge acquisition bottleneck. As more and more people participate in the effort, the use of a common vocabulary becomes more and more stable. We present an approach for discovering topic-specific trends within folksonomies. It is based on a differential adaptation of the PageRank algorithm to the triadic hypergraph structure of a folksonomy. The approach allows for any kind of data, as it does not rely on the internal structure of the documents. In particular, this allows to consider different data types in the same analysis step. We run experiments on a large-scale real-world snapshot of a social bookmarking system.