@inproceedings{loreto2009tagging,
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Loreto, Vittorio and Capocci, Andrea},
  biburl = {http://www.bibsonomy.org/bibtex/21ec9c6b266af3bd0ce0c67f6f38983dd/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {6f2ba9f38788a3b544fb5620813329a0},
  intrahash = {1ec9c6b266af3bd0ce0c67f6f38983dd},
  keywords = {ht2009 semiotics tagging w4tag workshop},
  month = {July},
  paperid = {w4tag},
  publisher = {ACM},
  session = {Workshop},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Tagging Dynamics in Online Communities},
  year = 2009
}

@inproceedings{lesmo2009extracting,
  abstract = {This paper illustrates a system designed to automatically extract semantic annotations of the normative modifications present in legal texts. The work relies on a deep parsing approach. The problem of semantically annotating legal texts is cast to the problem of mapping parse trees to semantic frames representing such modifications. We report a preliminary experimentation along with the dataset employed, and discuss the results to point out future improvements.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Lesmo, Leonardo and Mazzei, Alessandro and Radicioni, Daniele P.},
  biburl = {http://www.bibsonomy.org/bibtex/2afbf2fd02327dd08c464c708d7a737a9/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {4b449dbd356c1d8c651452320345af98},
  intrahash = {afbf2fd02327dd08c464c708d7a737a9},
  keywords = {automatic extraction ht2009 hypertext information legal semantic shortPaper sp75 tagging},
  month = {July},
  paperid = {sp75},
  publisher = {ACM},
  session = {Short Paper},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Extracting Semantic Annotations from Legal Texts},
  year = 2009
}

@inproceedings{bollen2009suggestions,
  abstract = {Most tagging systems support the user in the tag selection process by providing tag suggestions, or recommendations, based on a popularity measurement of tags other users provided when tagging the same resource.  The majority of theories and mathematical models of tagging found in the literature assume that the emergence of power laws in tagging systems is mainly driven by the imitation behavior of users when observing tag suggestions provided by the user interface of the tagging system. We present experimental results that show that the power law distribution forms regardless of whether or not tag suggestions are presented to the users.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Bollen, Dirk and Halpin, Harry},
  biburl = {http://www.bibsonomy.org/bibtex/2d7b14a0eb7fabb3cee8846802de069fe/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {280a97ee745f4e0409cf031a1b7ea247},
  intrahash = {d7b14a0eb7fabb3cee8846802de069fe},
  keywords = {ht2009 laws poster power pp161 suggestions tag tagging},
  month = {July},
  paperid = {pp161},
  publisher = {ACM},
  session = {Poster},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {The Role of Tag Suggestions in Folksonomies},
  year = 2009
}

@inproceedings{bruckschen2009named,
  abstract = {This paper presents an application which relies on Natural
Language Processing techniques to identify hot topics in a
news portal. Named Entity Recognition, semantic tagging
and identity identification are used to acquire knowledge of
the domain, generate ontologies automatically and rank hot
topics for the news in the portal.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Bruckschen, Mírian and Vieira, Renata and Rigo, Sandro},
  biburl = {http://www.bibsonomy.org/bibtex/28be99078789359235d781eccfa2902c7/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {08082e2e761fb2e4b5f659fc7d14e3ac},
  intrahash = {8be99078789359235d781eccfa2902c7},
  keywords = {aid hot ht2009 language natural navigation poster pp154 processing semantic tagging topics web2.0},
  month = {July},
  paperid = {pp154},
  publisher = {ACM},
  session = {Poster},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Named Entities for Hot Topics Ranking and Ontology Navigation Aid},
  year = 2009
}

@inproceedings{neubauer2009hyperincident,
  abstract = {Data created by social bookmarking systems can be described as
3-partite 3-uniform hypergraphs connecting documents, users, and
tags (tagging networks),  
such that the toolbox of complex network analysis can be applied to 
examine their properties. One of the most basic tools, the
analysis of connected components, however cannot be applied
meaningfully: Tagging networks 
tend to be almost entirely connected. We therefore propose a
generalization of connected components, m-hyperincident
connected components. 
We show that decomposing tagging networks into 2-hyperincident
connected components yields a characteristic component
distribution with a salient giant component that can be found
across various datasets.  
This pattern changes if the underlying formation process
changes, for example, if the hypergraph is constructed from
search logs, or if the tagging data is contaminated by spam: It
turns out that the second- to 129th largest components of the
spam-labeled Bibsonomy dataset are inhabited exclusively by spam
users. Based on these findings, we propose and  unsupervised
method for spam detection. },
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Neubauer, Nicolas and Obermayer, Klaus},
  biburl = {http://www.bibsonomy.org/bibtex/2f696989e22dd4c77c8a6352526e13efe/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {2686bad7ff1f4d07c0b3302dff08368a},
  intrahash = {f696989e22dd4c77c8a6352526e13efe},
  keywords = {components connected detection fp105 fullPaper ht2009 spam tagging},
  month = {July},
  paperid = {fp105},
  publisher = {ACM},
  session = {Full Paper},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Hyperincident Connected Components of Tagging Networks},
  year = 2009
}

@inproceedings{santos-neto2009individual,
  abstract = {In tagging systems users can annotate items of interest with free-form terms. A good understanding of usage characteristics of such systems is necessary to improve the design of current and next generation of tagging systems. To this end, this work explores three aspects of user behavior in CiteULike and Connotea, two systems that include tagging features to support online personalized management of scientific publications. First, this study characterizes the degree to which users re-tag previously published items and reuse tags: 10 to 20% of the daily activity can be characterized as re-tagging and about 75% of the activity as tag reuse. Second, we use the pairwise similarity between users activity to characterize the interest sharing in the system. We present the interest sharing distribution across the system, show that this metric encodes information about existing usage patterns, and attempt to correlate interest sharing levels to indicators of collaboration such as co-membership in discussion groups and semantic similarity of tag vocabularies. Finally, we show that interest sharing leads to an implicit structure that exhibit a natural segmentation. Throughout the paper we discuss the potential impact of our findings on the design of mechanisms that support tagging systems.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Santos-Neto, Elizeu and Condon, David and Andrade, Nazareno and Iamnitchi, Adriana and Ripeanu, Matei},
  biburl = {http://www.bibsonomy.org/bibtex/2ec87d0f3836518886ee1f4ecf6ffe9c8/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {07a2f583edf181046a997bc59e7e56be},
  intrahash = {ec87d0f3836518886ee1f4ecf6ffe9c8},
  keywords = {fp102 fullPaper ht2009 interest model null random reuse sharing tag tagging},
  month = {July},
  paperid = {fp102},
  publisher = {ACM},
  session = {Full Paper},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Individual and Social Behavior in Tagging Systems},
  year = 2009
}

@inproceedings{abbasi2009richvsm,
  abstract = {People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries.

In this paper, we explore two dimensions of semantic relationships between tags, based on the context and the distribution of tags. We exploit semantic relationships between tags to reduce sparseness in Folksonomies and propose different enriched vector space models. We also propose a vector space model Best of Breed which utilizes appropriate enrichment method based on the type of the query. We evaluate the proposed methods on a large dataset of 27 million resources, 92 thousand tags and 94 million tag assignments. Experimental results show that the enriched vector space models help in improving search, especially for the rare queries which have few relevant resources in the sparse data.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Abbasi, Rabeeh and Staab, Steffen},
  biburl = {http://www.bibsonomy.org/bibtex/29e7a2a323235eed80b2b91bbf2e659cd/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {beeda6b9f798af218a7f51aaa399e45e},
  intrahash = {9e7a2a323235eed80b2b91bbf2e659cd},
  keywords = {folksonomies fp056 fullPaper ht2009 information model models reduction retrieval search smoothing space sparseness tagging vector},
  month = {July},
  paperid = {fp056},
  publisher = {ACM},
  session = {Full Paper},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {RichVSM: enRiched Vector Space Models for Folksonomies},
  year = 2009
}

@inproceedings{yeung2009contextualising,
  abstract = {Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controlled vocabularies, they also suffer from problems such as the existence of polysemous tags. We investigate how the different contexts in which individual tags are used can be revealed automatically without consulting any external resources. We consider several different network representations of tags and documents, and apply a graph clustering algorithm on these networks to obtain groups of tags or documents corresponding to the different meanings of an ambiguous tag. Our experiments show that networks which explicitly take the social context into account are more likely to give a better picture of the semantics of a tag.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {man Au Yeung, Ching and Gibbins, Nicholas and Shadbolt, Nigel},
  biburl = {http://www.bibsonomy.org/bibtex/2f3000777d9b48c7a5e7499def8e45e8e/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {f1e4766edac9ec9545c866fda9fa2a4c},
  intrahash = {f3000777d9b48c7a5e7499def8e45e8e},
  keywords = {collaborative context folksonomy fp017 fullPaper ht2009 semantics tagging},
  month = {July},
  paperid = {fp017},
  publisher = {ACM},
  session = {Full Paper},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Contextualising Tags in Collaborative Tagging Systems},
  year = 2009
}

@inproceedings{benz2009managing,
  abstract = {In this demo we present BibSonomy, a social bookmark and
publication sharing system.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Benz, Dominik and Eisterlehner, Folke and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2f77b248ed41194330e6d22180c742581/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {aa341801cf9a31d963fccb8a331043dc},
  intrahash = {f77b248ed41194330e6d22180c742581},
  keywords = {2.0 de143 demo folksonomy ht2009 tagging tools web},
  month = {July},
  paperid = {de143},
  publisher = {ACM},
  session = {Demo},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Managing Publications and Bookmarks with BibSonomy},
  year = 2009
}

@inproceedings{roinestad2009incentives,
  abstract = {Researchers are exploring the use of folksonomies, such as in social bookmarking systems, to build implicit links between online resources.  Users create and reinforce links between resources through applying a common tag to those resources.  The effectiveness of using such community-driven annotation depends on user participation to provide the critical information.  However, the participation of many users is motivated by selfish reasons.  An effective way to encourage these users is to create useful or entertaining applications. We demo two such tools -- a browser extension for bookmark management and navigation and a game.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Roinestad, Heather and Burgoon, John and Markines, Benjamin and Menczer, Filippo},
  biburl = {http://www.bibsonomy.org/bibtex/260b2d9e5bc272c6a5cf6ccf8cc66481c/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {44278717c5d687657f008d208f8d0b16},
  intrahash = {60b2d9e5bc272c6a5cf6ccf8cc66481c},
  keywords = {a de140 demo games ht2009 purpose social tagging with},
  month = {July},
  paperid = {de140},
  publisher = {ACM},
  session = {Demo},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Incentives for Social Annotation},
  year = 2009
}

@inproceedings{marcellin2009vision,
  abstract = {In this paper we describe a model of social and collaborative search based on the use of tags.  First we will introduce the issues that drove us to the definition of this model, analyzing different elements characterizing the web 2.0 paradigm and their effect on traditional search and classification systems. Afterwards we will present TAG Vision, a prototype implementation of the model, developed in order to investigate new approaches for information retrieval.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Marcellin, Lara and Politi, Roberto},
  biburl = {http://www.bibsonomy.org/bibtex/2393836d4c52c89783a7e33ddc116f47f/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {81e06148bdc1500dfad03bcdf6c6629a},
  intrahash = {393836d4c52c89783a7e33ddc116f47f},
  keywords = {bookmarking co-occurrence de130 demo ht2009 network search social tag tagging},
  month = {July},
  paperid = {de130},
  publisher = {ACM},
  session = {Demo},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Tag Vision: Social Knowledge for Collaborative Search},
  year = 2009
}