TY - CONF AU - Hotho, Andreas AU - Jäschke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd A2 - de Moor, Aldo A2 - Polovina, Simon A2 - Delugach, Harry T1 - BibSonomy: A Social Bookmark and Publication Sharing System T2 - Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures PB - Aalborg Universitetsforlag CY - Aalborg PY - 2006/ M2 - VL - IS - SP - 87 EP - 102 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf M3 - KW - 2006 KW - FCA KW - OntologyHandbook KW - bibsonomy KW - bookmarking KW - folksonomy KW - iccs KW - l3s KW - myown KW - nepomuk KW - social KW - tagorapub L1 - SN - 87-7307-769-0 N1 - Publications of Gerd Stumme N1 - AB - 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. ER - TY - CONF AU - Hotho, Andreas AU - Jäschke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Hochberger, Christian A2 - Liskowsky, Rüdiger T1 - Emergent Semantics in BibSonomy T2 - Informatik 2006 -- Informatik für Menschen. Band 2 PB - Gesellschaft für Informatik CY - Bonn PY - 2006/october M2 - VL - P-94 IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf M3 - KW - 2006 KW - UniK KW - bibsonomy KW - emergence KW - emergent KW - folksonomy KW - hotho KW - itegpub KW - jaeschke KW - l3s KW - myown KW - nepomuk KW - schmitz KW - semantics KW - stumme KW - tagorapub L1 - SN - N1 - Publications of Gerd Stumme N1 - AB - 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. ER - TY - CONF AU - Hotho, Andreas AU - Jäschke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Avrithis, Yannis S. A2 - Kompatsiaris, Yiannis A2 - Staab, Steffen A2 - O'Connor, Noel E. T1 - Trend Detection in Folksonomies T2 - Proc. First International Conference on Semantics And Digital Media Technology (SAMT) PB - Springer CY - Heidelberg PY - 2006/12 M2 - VL - 4306 IS - SP - 56 EP - 70 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf M3 - KW - 2006 KW - UniK KW - detection KW - folkrank KW - folksonomy KW - hotho KW - intranet KW - itegpub KW - jaeschke KW - l3s KW - myown KW - nepomuk KW - pagerank KW - schmitz KW - stumme KW - tagorapub KW - trend KW - triadic L1 - SN - 3-540-49335-2 N1 - N1 - AB - 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. ER -