@inproceedings{benz2010semantics,
  added-at = {2010-05-05T20:26:05.000+0200},
  address = {Raleigh, NC, USA},
  author = {Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/29de59a9efdc8b41446bfdcac2901b999/wnpxrz},
  booktitle = {Proceedings of the 2nd Web Science Conference (WebSci09)},
  interhash = {dbd2ac30cfb0faa29413275afc9b4387},
  intrahash = {9de59a9efdc8b41446bfdcac2901b999},
  keywords = {knowledge ontology semantic semanticweb tagging},
  note = {(to appear)},
  timestamp = {2010-05-05T20:26:05.000+0200},
  title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge},
  year = 2010
}

@misc{cattuto-2008,
  abstract = { Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.},
  added-at = {2008-05-19T17:48:01.000+0200},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/278fd64c3db55e6387ebdeb6c40054542/wnpxrz},
  description = {[0805.2045] Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems},
  interhash = {cc62b733f6e0402db966d6dbf1b7711f},
  intrahash = {78fd64c3db55e6387ebdeb6c40054542},
  keywords = {measure semantic similarity tag tagging},
  timestamp = {2008-05-19T17:48:01.000+0200},
  title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging   Systems},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0805.2045},
  year = 2008
}

@article{golder2006,
  added-at = {2008-04-03T16:31:54.000+0200},
  author = {Golder, S.A. and Huberman, B.A.},
  biburl = {http://www.bibsonomy.org/bibtex/2281943ad0a7c81ad975f0a4c7de43447/wnpxrz},
  description = {introduces different categories of tags (eg task-organising, categories, etc)},
  interhash = {df675e16fcba9cd0f6afc5c9f2a8a723},
  intrahash = {281943ad0a7c81ad975f0a4c7de43447},
  journal = {Journal of Information Science},
  keywords = {collaborative tagging},
  number = 2,
  pages = 198,
  timestamp = {2008-04-03T16:31:54.000+0200},
  title = {{Usage patterns of collaborative tagging systems}},
  volume = 32,
  year = 2006
}

@inproceedings{Benz07OL,
  added-at = {2008-01-24T17:57:10.000+0100},
  author = {Benz, Dominik and Hotho, Andreas},
  biburl = {http://www.bibsonomy.org/bibtex/2ad31989b2393f5d0c4e8be8dbb613141/wnpxrz},
  booktitle = {LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)},
  crossref = {conf/lwa/2007},
  date = {2007-11-16},
  description = {dblp},
  editor = {Hinneburg, Alexander},
  interhash = {ff7de5717f771dabd764675279ff3adf},
  intrahash = {ad31989b2393f5d0c4e8be8dbb613141},
  isbn = {978-3-86010-907-6},
  keywords = {ontology tagging},
  pages = {109-112},
  publisher = {Martin-Luther-University Halle-Wittenberg},
  timestamp = {2008-01-24T17:57:10.000+0100},
  title = {Position Paper: Ontology Learning from Folksonomies.},
  url = {http://dblp.uni-trier.de/db/conf/lwa/lwa2007.html#BenzH07},
  year = 2007
}

@inproceedings{laniado07b,
  added-at = {2008-01-24T17:56:59.000+0100},
  author = {Laniado, David and Eynard, Davide and Colombetti, Marco},
  biburl = {http://www.bibsonomy.org/bibtex/27f7ac73677841b4580461d408e83495a/wnpxrz},
  booktitle = {Semantic Web Application and Perspectives - Fourth Italian Semantic Web Workshop},
  interhash = {20cfb04df242c1ab1c986128c9f5a9c9},
  intrahash = {7f7ac73677841b4580461d408e83495a},
  keywords = {ontology tagging wordnet},
  month = Dec,
  pages = {192--201},
  timestamp = {2008-01-24T17:56:59.000+0100},
  title = {Using WordNet to turn a folksonomy into a hierarchy of concepts},
  url = {http://home.dei.polimi.it/eynard/papers/swap2007.pdf},
  year = 2007
}

@inproceedings{DaHS07,
  abstract = {We can observe that the amount of non-toy domain ontologies is still
	very limited for many areas of interest. In contrast, folksonomies
	are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2)
	annotating pictures (e.g. flickr), or (3) classifying scholarly publications
	(e.g. bibsonomy). However, such folksonomies cannot offer the expressivity
	of ontologies, and the respective tags often lack a context-independent
	and intersubjective definition of meaning. Also, folksonomies and
	other unsupervised vocabularies frequently suffer from inconsistencies
	and redundancies. In this paper, we argue that the social interaction
	manifested in folksonomies and in their usage should be exploited
	for building and maintaining ontologies. Then, we sketch a comprehensive
	approach for deriving ontologies from folksonomies by integrating
	multiple resources and techniques. In detail, we suggest combining
	(1) the statistical analysis of folksonomies, associated usage data,
	and their implicit social networks, (2) online lexical resources
	like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies
	and Semantic Web resources, (4) ontology mapping and matching approaches,
	and (5) functionality that helps human actors in achieving and maintaining
	consensus over ontology element suggestions resulting from the preceding
	steps.},
  added-at = {2008-01-24T17:56:46.000+0100},
  author = {Damme, C�line Van and Hepp, Martin and Siorpaes, Katharina},
  biburl = {http://www.bibsonomy.org/bibtex/276f12c6eccaf91e85db3ce6fb7fed03f/wnpxrz},
  booktitle = {Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)},
  file = {DaHS07.pdf:folksonomies\\DaHS07.pdf:PDF},
  interhash = {c8d1bcaa606229417f1c3f0f27c5f0e0},
  intrahash = {76f12c6eccaf91e85db3ce6fb7fed03f},
  keywords = {ontology tagging},
  pages = {57-70},
  timestamp = {2008-01-24T17:56:46.000+0100},
  title = {FolksOntology: An Integrated Approach for Turning Folksonomies into
	Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/FolksOntology.pdf},
  year = 2007
}

@misc{TagOnt2005,
  abstract = {An ontology that describes tags, as used in the popular del.icio.us and Flickr systems, and allows for relationships between tags to be described.},
  added-at = {2008-01-24T17:54:55.000+0100},
  author = {Newman, Richard and Ayers, Danny and Russell, Seth},
  biburl = {http://www.bibsonomy.org/bibtex/2bb08b9c306562a46033632b33e2bb856/wnpxrz},
  interhash = {a4e960a85c9458a12f2ac8b1a4646c09},
  intrahash = {bb08b9c306562a46033632b33e2bb856},
  keywords = {ontology tagging},
  month = {December},
  timestamp = {2008-01-24T17:54:55.000+0100},
  title = {Tag Ontology},
  url = {http://www.holygoat.co.uk/owl/redwood/0.1/tags/},
  year = 2005
}

@inproceedings{halpin2006dynamics,
  abstract = {The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including the dynamics of such systems and whether coherent classification schemes can emerge from undirected tagging by users. Currently millions of users are using collaborative tagging without centrally organizing principles, and many suspect this exhibits features considered to be indicative of a complex system. If this is the case, it remains to be seem whether collaborative tagging by users over time leads to emergent classi- fication schemes that could be formalized into an ontology usable by the Semantic Web. This paper uses data from “popular” tagged sites on the social bookmarking site del.icio.us to examine the dynamics of such collaborative tagging systems. In particular, we are trying to determine whether the distribution of tag frequencies stabilizes, which indicates a degree of cohesion or consensus among users about the optimal tags to describe particular sites. We use tag co-occurrence networks for a sample domain of tags to analyze the meaning of particular tags given their relationship to other tags and automatically create an ontology. We also produce a generative model of collaborative tagging in order to model and understand some of the basic dynamics behind the process.},
  added-at = {2008-01-24T17:54:07.000+0100},
  author = {Halpin, Harry and Robu, Valentin and Shepard, Hana},
  biburl = {http://www.bibsonomy.org/bibtex/27be112719b93a4d4263407afbf05cce1/wnpxrz},
  booktitle = {Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW'06)},
  interhash = {86b08d03b5f0bd947fd9095dc2c9a70c},
  intrahash = {7be112719b93a4d4263407afbf05cce1},
  keywords = {collaborative filtering tagging},
  timestamp = {2008-01-24T17:54:07.000+0100},
  title = {The Dynamics and Semantics of Collaborative Tagging },
  url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-209/saaw06-full01-halpin.pdf},
  year = 2006
}

@inproceedings{mishne06-autotag,
  abstract = {This paper describes AutoTag, a tool which suggests tags for weblog posts using collaborative filtering methods. An evaluation of AutoTag on a large collection of posts shows good accuracy; coupled with the blogger's final quality control, AutoTag assists both in simplifying the tagging process and in improving its quality.},
  added-at = {2008-01-18T15:46:08.000+0100},
  address = {New York, NY, USA},
  author = {Mishne, Gilad},
  biburl = {http://www.bibsonomy.org/bibtex/2dd5ccfe1f5bef87cefd2a000e31d6558/wnpxrz},
  booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web},
  interhash = {62d370a3abfaed3469bd2ee6a8ef6473},
  intrahash = {dd5ccfe1f5bef87cefd2a000e31d6558},
  keywords = {blog tagging},
  lastdatemodified = {2006-08-27},
  lastname = {Mishne},
  note = {paper presented at the poster track},
  own = {notown},
  pages = {953--954},
  pdf = {mishne06-autotag.pdf},
  publisher = {ACM Press},
  read = {notread},
  timestamp = {2008-01-18T15:46:08.000+0100},
  title = {AutoTag: a collaborative approach to automated tag assignment for weblog posts},
  url = {http://2006.org/programme/item.php?id=p11},
  year = 2006
}

@inproceedings{marchetti2007semkey,
  added-at = {2008-01-12T11:42:06.000+0100},
  address = {Banff, Canada},
  author = {Marchetti, Andrea and Tesconi, Maurizio and Ronzano, Francesco and Rosella, Marco and Minutoli, Salvatore},
  biburl = {http://www.bibsonomy.org/bibtex/2db794dcfb41cae7a5147a8234f7ea2eb/wnpxrz},
  booktitle = {Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information Organization},
  description = {Andrea Marchetti, Maurizio Tesconi, Francesco Ronzano, Marco Rosella - Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information Organization - May 2007 - Banff, Canada},
  interhash = {2d14c0e69c87a3b1ca8898f047969b04},
  intrahash = {db794dcfb41cae7a5147a8234f7ea2eb},
  keywords = {ontology semanticweb tagging},
  month = May,
  timestamp = {2008-01-12T11:42:06.000+0100},
  title = {SemKey: A Semantic Collaborative Tagging System },
  url = {http://www2007.org/workshops/paper_45.pdf},
  year = 2007
}

@misc{cattuto-2007,
  added-at = {2007-12-04T16:09:52.000+0100},
  author = {Cattuto, Ciro and Baldassarri, Andrea and Servedio, Vito D. P. and Loreto, Vittorio},
  biburl = {http://www.bibsonomy.org/bibtex/24d6bfbd16ba976f4a4aae985c2a92449/wnpxrz},
  description = {Vocabulary growth in collaborative tagging systems},
  interhash = {7de017393b2d48335e209a9db23e08b6},
  intrahash = {4d6bfbd16ba976f4a4aae985c2a92449},
  keywords = {collaborative tagging},
  timestamp = {2007-12-04T16:09:52.000+0100},
  title = {Vocabulary growth in collaborative tagging systems},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0704.3316},
  year = 2007
}

@inproceedings{citeulike:2045619,
  abstract = {Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to re-finding these resources later. Tagging is implicitly also a social indexing process, since users share their tags and resources, constructing a social tag index, so-called folksonomy. At the same time of tagging-based system, has been popularised an interface model for visual information retrieval known as Tag-Cloud. In this model, the most frequently used tags are displayed in alphabetical order. This paper presents a novel approach to Tag-Cloud’s tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest that presented approach reduces the semantic density of tag set, and improves the visual consistency of Tag-Cloud layout.},
  added-at = {2007-12-03T17:37:36.000+0100},
  author = {Hassan-Montero, Y. and Herrero-Solana, V.},
  biburl = {http://www.bibsonomy.org/bibtex/206f68f9fe46dc6d0f646d932e428dec9/wnpxrz},
  booktitle = {InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies},
  citeulike-article-id = {2045619},
  comment = {proposes using k-clustering and some sort of semantic sorting to refactor tag cloud layout to improve browsing. Not clear on how they actually do it.},
  description = {CiteULike: Improving Tag-Clouds as Visual Information Retrieval Interfaces},
  interhash = {4458142370e3c6a4fe656af2f822a0dc},
  intrahash = {06f68f9fe46dc6d0f646d932e428dec9},
  keywords = {cloid ir proj:bk proj:et tag tagging visualization},
  priority = {0},
  timestamp = {2007-12-03T17:37:36.000+0100},
  title = {Improving Tag-Clouds as Visual Information Retrieval Interfaces},
  url = {http://nosolousabilidad.com/hassan/improving_tagclouds.pdf},
  year = 2006
}

@inproceedings{adrian+2007a,
  abstract = {ConTag is an approach to generate semantic tag recommendations for
	documents
	
	based on Semantic Web ontologies and Web 2.0 services. We designed
	and implemented
	
	a process to normalize documents to RDF format, extract document topics
	
	using Web 2.0 services and finally match extracted topics to a Semantic
	Web ontology.
	
	Due to ConTag we are able to show that the information provided by
	Web 2.0 services
	
	in combination with a Semantic Web ontology enables the generation
	of relevant semantic
	
	tag recommendations for documents. The main contribution of this work
	is a
	
	semantic tag recommendation process based on a choreography of Web
	2.0 services.},
  added-at = {2007-11-21T16:05:02.000+0100},
  author = {Adrian, Benjamin and Sauermann, Leo and Roth-Berghofer, Thomas},
  biburl = {http://www.bibsonomy.org/bibtex/2baf236eafcb9b39d34339a798bfef58b/wnpxrz},
  booktitle = {Proceedings of I-Semantics' 07},
  description = {iknow2007 publications},
  doi = {ISSN 0948-6968},
  editor = {Pellegrini, Tassilo and Schaffert, Sebastian},
  interhash = {1acc5f78c84ea7de0cc50dc3c1e4e994},
  intrahash = {baf236eafcb9b39d34339a798bfef58b},
  keywords = {recommendersystems tagging tags},
  owner = {sauermann},
  pages = {pp. 297-304},
  pdf = {adrian+2007a.pdf},
  publisher = {JUCS},
  timestamp = {2007-11-21T16:05:02.000+0100},
  title = {ConTag: A semantic tag recommendation system},
  url = {http://www.dfki.uni-kl.de/~sauermann/papers/horak+2007a.pdf},
  year = 2007
}

@inproceedings{Niwa:2006,
  abstract = {There have been many attempts to construct web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to web pages, and the number of web pages on the Internet is too large. In this paper, we propose the way to construct a new type of web page recommender system covering all over the Internet, by using Folksonomy and Social Bookmark which are getting very popular in these days.},
  added-at = {2007-11-19T15:49:43.000+0100},
  author = {Niwa, S. and Doi, Takuo and Honiden, S.},
  biburl = {http://www.bibsonomy.org/bibtex/2b1cb4183d3ad183709ed11780f1b5fdf/wnpxrz},
  booktitle = {Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on},
  description = {Welcome to IEEE Xplore 2.0: Web Page Recommender System based on Folksonomy Mining for ITNG ’06 Submissions},
  doi = {10.1109/ITNG.2006.140},
  interhash = {380f4bafa6f23f100225c700561e2e80},
  intrahash = {b1cb4183d3ad183709ed11780f1b5fdf},
  isbn = {0-7695-2497-4},
  keywords = {collaborative filtering folksonomy imported recommendersystems tagging tags web},
  pages = {388- 393},
  timestamp = {2007-11-19T15:49:43.000+0100},
  title = {Web Page Recommender System based on Folksonomy Mining for ITNG ’06 Submissions},
  url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1611624},
  year = 2006
}

@article{keyhere,
  abstract = {Personalized recommendation is used to conquer the information overload problem, and collaborative filtering recommendation (CF) is one of the most successful recommendation techniques to date. However, CF becomes less effective when users have multiple interests, because users have similar taste in one aspect may behave quite different in other aspects. Information got from social bookmarking websites not only tells what a user likes, but also why he or she likes it. This paper proposes a division algorithm and a CubeSVD algorithm to analysis this information, distill the interrelations between different users’ various interests, and make better personalized recommendation based on them. Experiment reveals the superiority of our method over traditional CF methods.
ER  -},
  added-at = {2007-11-19T15:48:13.000+0100},
  author = {Xu, Yanfei and Zhang, Liang and Liu, Wei},
  biburl = {http://www.bibsonomy.org/bibtex/25fbd24f07fe8784b516e69b0eb3192f3/wnpxrz},
  description = {SpringerLink - Book Chapter},
  interhash = {edf999afa5a0ff81e53b0c859b466659},
  intrahash = {5fbd24f07fe8784b516e69b0eb3192f3},
  journal = {Frontiers of WWW Research and Development - APWeb 2006},
  keywords = {bookmarking collaborative filtering recommendersystems social tagging},
  pages = {733--738},
  timestamp = {2007-11-19T15:48:13.000+0100},
  title = {Cubic Analysis of Social Bookmarking for Personalized Recommendation},
  url = {http://dx.doi.org/10.1007/11610113_66},
  year = 2006
}

@inproceedings{Byde2007,
  abstract = {This short paper describes a novel technique for generating personalized tag recommendations for users of social book- marking sites such as del.icio.us. Existing techniques recom- mend tags on the basis of their popularity among the group of all users; on the basis of recent use; or on the basis of simple heuristics to extract keywords from the url being tagged. Our method is designed to complement these approaches, and is based on recommending tags from urls that are similar to the one in question, according to two distinct similarity metrics, whose principal utility covers complementary cases.},
  added-at = {2007-11-19T15:46:45.000+0100},
  author = {Byde, Andrew and Wan, Hui and Cayzer, Steve},
  biburl = {http://www.bibsonomy.org/bibtex/2157846898c1c2a65c265a913ebac115a/wnpxrz},
  booktitle = {Proceedings of the International Conference on Weblogs and Social Media},
  interhash = {38aaca7e5b9c508a5901f4109dabaa69},
  intrahash = {157846898c1c2a65c265a913ebac115a},
  keywords = {content recommendersystems tag tagging tags},
  month = {March},
  priority = {5},
  timestamp = {2007-11-19T15:46:45.000+0100},
  title = {Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics},
  url = {http://www.icwsm.org/papers/paper47.html},
  year = 2007
}

@inproceedings{1242686,
  added-at = {2007-10-20T16:26:01.000+0200},
  address = {New York, NY, USA},
  author = {Chirita, Paul Alexandru and Costache, Stefania and Nejdl, Wolfgang and Handschuh, Siegfried},
  biburl = {http://www.bibsonomy.org/bibtex/258f1705eb270c20c6aaea2377f88e664/wnpxrz},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  description = {P-TAG},
  doi = {http://doi.acm.org/10.1145/1242572.1242686},
  interhash = {93612f3a17257a5d0d73e95d59d0c408},
  intrahash = {58f1705eb270c20c6aaea2377f88e664},
  isbn = {978-1-59593-654-7},
  keywords = {imported tagging tags web},
  location = {Banff, Alberta, Canada},
  pages = {845--854},
  publisher = {ACM Press},
  timestamp = {2007-10-20T16:26:01.000+0200},
  title = {P-TAG: large scale automatic generation of personalized annotation tags for the web},
  url = {http://portal.acm.org/citation.cfm?id=1242686},
  year = 2007
}

@inproceedings{1244292,
  added-at = {2007-10-14T10:45:51.000+0200},
  address = {New York, NY, USA},
  author = {Kim, Hak Lae and Hwang, Suk Hyung and Kim, Hong Gee},
  biburl = {http://www.bibsonomy.org/bibtex/24440c3ca148004f3759456eac34e84fa/wnpxrz},
  booktitle = {SAC '07: Proceedings of the 2007 ACM symposium on Applied computing},
  description = {FCA-based approach for mining contextualized folksonomy},
  doi = {http://doi.acm.org/10.1145/1244002.1244292},
  interhash = {d4452fdd3059336e6d18ef714bcf0f72},
  intrahash = {4440c3ca148004f3759456eac34e84fa},
  isbn = {1-59593-480-4},
  keywords = {fca folksonomy imported mining tagging},
  location = {Seoul, Korea},
  pages = {1340--1345},
  publisher = {ACM Press},
  timestamp = {2007-10-14T10:45:51.000+0200},
  title = {FCA-based approach for mining contextualized folksonomy},
  url = {http://portal.acm.org/citation.cfm?id=1244002.1244292},
  year = 2007
}

@inproceedings{michlmayr07,
  added-at = {2007-10-07T15:16:05.000+0200},
  author = {Michlmayr, Elke and Cayzer, Steve},
  biburl = {http://www.bibsonomy.org/bibtex/2e48f3552d61c3ac40bd38e73e21d1a91/wnpxrz},
  booktitle = {Tagging and Metadata for Social Information Organization Workshop, WWW07},
  interhash = {506fd3e53236139f1267941370f58fd1},
  intrahash = {e48f3552d61c3ac40bd38e73e21d1a91},
  keywords = {learning personalization profile tagging user},
  timestamp = {2007-10-07T15:16:05.000+0200},
  title = {Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access},
  year = 2007
}

@mastersthesis{bielenberg2005gss,
  added-at = {2007-10-07T15:15:24.000+0200},
  author = {Bielenberg, K.},
  biburl = {http://www.bibsonomy.org/bibtex/2dd714f84969ebcb7436b3fa08b8993e2/wnpxrz},
  interhash = {3d01034c62a397cd2ed6ccb3b3a40a6e},
  intrahash = {dd714f84969ebcb7436b3fa08b8993e2},
  keywords = {context navigation social software tagging},
  timestamp = {2007-10-07T15:15:24.000+0200},
  title = {{Groups in Social Software: Utilizing Tagging to Integrate Individual Contexts for Social Navigation}},
  year = 2005
}