%0 Conference Paper %1 abel2008benefit %A Abel, Fabian %B PIKM '08: Proceeding of the 2nd PhD workshop on Information and knowledge management %C New York, NY, USA %D 2008 %I ACM %K folksonomy hits ranking %P 49--56 %R http://doi.acm.org/10.1145/1458550.1458560 %T The benefit of additional semantics in folksonomy systems %U http://portal.acm.org/citation.cfm?id=1458560 %X With the advent of Web 2.0 folksonomy systems like Flickr, del.icio.us, etc. have become very popular. They enable users to annotate resources (images, websites, etc.) with freely chosen keywords, so-called tags. The evolving set of such tag assignments, which are generally user-tag-resource bindings, are called folksonomies. Folksonomies embody valuable information that can be exploited by search and ranking algorithms. In this paper we describe our ongoing research in analyzing the benefit of additional semantics in folksonomy systems. We present the GroupMe! folksonomy system, which brings additional semantics to tagging systems by enabling users to group resources. We furthermore introduce different group-sensitive ranking algorithms that outperform existing folksonomy ranking strategies and define SocialHITS - a HITS-based algorithm to detect hubs and authorities in folksonomy systems. %@ 978-1-60558-257-3

@inproceedings{abel2008benefit, abstract = {With the advent of Web 2.0 folksonomy systems like Flickr, del.icio.us, etc. have become very popular. They enable users to annotate resources (images, websites, etc.) with freely chosen keywords, so-called tags. The evolving set of such tag assignments, which are generally user-tag-resource bindings, are called folksonomies. Folksonomies embody valuable information that can be exploited by search and ranking algorithms. In this paper we describe our ongoing research in analyzing the benefit of additional semantics in folksonomy systems. We present the GroupMe! folksonomy system, which brings additional semantics to tagging systems by enabling users to group resources. We furthermore introduce different group-sensitive ranking algorithms that outperform existing folksonomy ranking strategies and define SocialHITS - a HITS-based algorithm to detect hubs and authorities in folksonomy systems.}, added-at = {2017-12-22T12:04:28.000+0100}, address = {New York, NY, USA}, author = {Abel, Fabian}, biburl = {https://www.bibsonomy.org/bibtex/20276b8f54393fcfd8b24cd2a1f67ccaa/hotho}, booktitle = {PIKM '08: Proceeding of the 2nd PhD workshop on Information and knowledge management}, description = {The benefit of additional semantics in folksonomy systems}, doi = {http://doi.acm.org/10.1145/1458550.1458560}, file = {abrams1997how.pdf:abrams1997how.pdf:PDF;abel2008benefit.pdf:abel2008benefit.pdf:PDF}, groups = {tagora}, interhash = {4a9d21e3405a26ab6c7e3c78f5eab98b}, intrahash = {0276b8f54393fcfd8b24cd2a1f67ccaa}, isbn = {978-1-60558-257-3}, keywords = {folksonomy hits ranking}, location = {Napa Valley, California, USA}, pages = {49--56}, publisher = {ACM}, timestamp = {2017-12-22T12:04:28.000+0100}, title = {The benefit of additional semantics in folksonomy systems}, url = {http://portal.acm.org/citation.cfm?id=1458560}, username = {dbenz}, year = 2008 }