PUMA References output

Author	Title	Year	Journal/Proceedings	Reftype	DOI/URL
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Das Entstehen von Semantik in BibSonomy [Abstract] [BibTeX]	2006	Social Software in der Wertschöpfung	inproceedings	URL
Abstract: Immer mehr Soziale-Lesezeichen-Systeme entstehen im heutigen Web. In solchen Systemen erstellen die Nutzer leichtgewichtige begriffliche Strukturen, so genannte Folksonomies. Ihren Erfolg verdanken sie der Tatsache, dass man keine speziellen Fähigkeiten benötigt, um an der Gestaltung mitzuwirken. In diesem Artikel beschreiben wir unser System BibSonomy. Es erlaubt das Speichern, Verwalten und Austauschen sowohl von Lesezeichen (Bookmarks) als auch von Literaturreferenzen in Form von BibTeX-Einträgen. Die Entwicklung des verwendeten Vokabulars und der damit einhergehenden Entstehung einer gemeinsamen Semantik wird detailliert diskutiert.
BibTeX: @inproceedings{hotho2006das, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Das Entstehen von Semantik in BibSonomy}, booktitle = {Social Software in der Wertschöpfung}, publisher = {Nomos}, year = {2006}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006entstehen.pdf} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Das Entstehen von Semantik in BibSonomy [Abstract] [BibTeX]	2006	Social Software in der Wertschöpfung	inproceedings	URL
Abstract: Immer mehr Soziale-Lesezeichen-Systeme entstehen im heutigen Web. In solchen Systemen erstellen die Nutzer leichtgewichtige begriffliche Strukturen, so genannte Folksonomies. Ihren Erfolg verdanken sie der Tatsache, dass man keine speziellen Fähigkeiten benötigt, um an der Gestaltung mitzuwirken. In diesem Artikel beschreiben wir unser System BibSonomy. Es erlaubt das Speichern, Verwalten und Austauschen sowohl von Lesezeichen (Bookmarks) als auch von Literaturreferenzen in Form von BibTeX-Einträgen. Die Entwicklung des verwendeten Vokabulars und der damit einhergehenden Entstehung einer gemeinsamen Semantik wird detailliert diskutiert.
BibTeX: @inproceedings{hotho2006entstehen, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Das Entstehen von Semantik in BibSonomy}, booktitle = {Social Software in der Wertschöpfung}, publisher = {Nomos}, year = {2006}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006entstehen.pdf} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Emergent Semantics in BibSonomy [Abstract] [BibTeX]	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., Jäschke, R., Schmitz, C. & Stumme, G.	Emergent Semantics in BibSonomy [Abstract] [BibTeX]	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., Jäschke, R., Schmitz, C. & Stumme, G.	Emergent Semantics in BibSonomy [Abstract] [BibTeX]	2006	Informatik 2006 -- Informatik für Menschen. Band 2	inproceedings	URL
Abstract: Social bookmark tools are rapidly emerging on the Web. In such stems users are setting up lightweight conceptual structures lled folksonomies. The reason for their immediate success is the ct that no specific skills are needed for participating. In this per we specify a formal model for folksonomies, briefly describe r own system BibSonomy, ich allows for sharing both bookmarks and blication references, d 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., Jäschke, R., Schmitz, C. & Stumme, G.	Trend Detection in Folksonomies [Abstract] [BibTeX]	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} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Trend Detection in Folksonomies [Abstract] [BibTeX]	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} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Trend Detection in Folksonomies [Abstract] [BibTeX]	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 of cuments one can track, it becomes increasingly difficult to remain to date on ones own areas of interest. The problem becomes more vere with the increasing fraction of multimedia data, from which is difficult to extract some conceptual description of their ntents. ne way to overcome this problem are social bookmark tools, which e rapidly emerging on the web. In such systems, users are setting lightweight conceptual structures called folksonomies, and ercome thus the knowledge acquisition bottleneck. As more and more ople participate in the effort, the use of a common vocabulary comes more and more stable. We present an approach for discovering pic-specific trends within folksonomies. It is based on a fferential adaptation of the PageRank algorithm to the triadic pergraph structure of a folksonomy. The approach allows for any nd of data, as it does not rely on the internal structure of the cuments. In particular, this allows to consider different data pes in the same analysis step. We run experiments on a large-scale al-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} }

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