@incollection{singer2014folksonomies,
  author = {Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  booktitle = {Encyclopedia of Social Network Analysis and Mining},
  interhash = {3a55606e91328ca0191127b1fafe189e},
  intrahash = {84d9498b73de976d8d550c6761d4be0d},
  pages = {542--547},
  publisher = {Springer},
  title = {Folksonomies},
  year = 2014
}

@misc{singer2014hyptrails,
  abstract = {When users interact with the Web today, they leave sequential digital trails
on a massive scale. Examples of such human trails include Web navigation,
sequences of online restaurant reviews, or online music play lists.
Understanding the factors that drive the production of these trails can be
useful for e.g., improving underlying network structures, predicting user
clicks or enhancing recommendations. In this work, we present a general
approach called HypTrails for comparing a set of hypotheses about human trails
on the Web, where hypotheses represent beliefs about transitions between
states. Our approach utilizes Markov chain models with Bayesian inference. The
main idea is to incorporate hypotheses as informative Dirichlet priors and to
leverage the sensitivity of Bayes factors on the prior for comparing hypotheses
with each other. For eliciting Dirichlet priors from hypotheses, we present an
adaption of the so-called (trial) roulette method. We demonstrate the general
mechanics and applicability of HypTrails by performing experiments with (i)
synthetic trails for which we control the mechanisms that have produced them
and (ii) empirical trails stemming from different domains including website
navigation, business reviews and online music played. Our work expands the
repertoire of methods available for studying human trails on the Web.},
  author = {Singer, Philipp and Helic, Denis and Hotho, Andreas and Strohmaier, Markus},
  interhash = {54535487cdfa9024073c07e336e03d70},
  intrahash = {07a19041ef1bfd5cef707e03d1510d5e},
  note = {cite arxiv:1411.2844},
  title = {HypTrails: A Bayesian Approach for Comparing Hypotheses about Human
  Trails on the Web},
  url = {http://arxiv.org/abs/1411.2844},
  year = 2014
}

@inproceedings{doerfel2014social,
  address = {New York, NY, USA},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  booktitle = {Proceedings of the 23rd International World Wide Web Conference},
  interhash = {9223d6d728612c8c05a80b5edceeb78b},
  intrahash = {11fab5468dd4b4e3db662ea5e68df8e0},
  publisher = {ACM},
  series = {WWW 2014},
  title = {How Social is Social Tagging?},
  year = 2014
}

@inproceedings{doerfel2014evaluating,
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  booktitle = {Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, Aachen,               Germany, September 8-10, 2014.},
  editor = {Seidl, Thomas and Hassani, Marwan and Beecks, Christian},
  interhash = {955cd7c6f7652b7c531b699464925b1f},
  intrahash = {4b2e73c82b5a84e1959ad66aaad4a235},
  pages = {18--19},
  publisher = {CEUR-WS.org},
  title = {Evaluating Assumptions about Social Tagging - {A} Study of User Behavior
               in BibSonomy},
  url = {http://ceur-ws.org/Vol-1226/paper06.pdf},
  year = 2014
}

@inproceedings{doerfel2014evaluating,
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  booktitle = {Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, Aachen,               Germany, September 8-10, 2014.},
  editor = {Seidl, Thomas and Hassani, Marwan and Beecks, Christian},
  interhash = {955cd7c6f7652b7c531b699464925b1f},
  intrahash = {4b2e73c82b5a84e1959ad66aaad4a235},
  pages = {18--19},
  publisher = {CEUR-WS.org},
  title = {Evaluating Assumptions about Social Tagging - {A} Study of User Behavior
               in BibSonomy},
  url = {http://ceur-ws.org/Vol-1226/paper06.pdf},
  year = 2014
}

@inproceedings{doerfel2014social,
  address = {New York, NY, USA},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  booktitle = {Proceedings of the 23rd International World Wide Web Conference},
  interhash = {9223d6d728612c8c05a80b5edceeb78b},
  intrahash = {11fab5468dd4b4e3db662ea5e68df8e0},
  publisher = {ACM},
  series = {WWW 2014},
  title = {How Social is Social Tagging?},
  year = 2014
}

@article{singer2013computing,
  abstract = {In this article, the authors present a novel approach for computing semantic relatedness and conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods that utilize Wikipedia’s content or link structure, the authors propose to use human navigational paths on Wikipedia for this task. The authors obtain 1.8 million human navigational paths from a semi-controlled navigation experiment – a Wikipedia-based navigation game, in which users are required to find short paths between two articles in a given Wikipedia article network. The authors’ results are intriguing: They suggest that (i) semantic relatedness computed from human navigational paths may be more precise than semantic relatedness computed from Wikipedia’s plain link structure alone and (ii) that not all navigational paths are equally useful. Intelligent selection based on path characteristics can improve accuracy. The authors’ work makes an argument for expanding the existing arsenal of data sources for calculating semantic relatedness and to consider the utility of human navigational paths for this task.},
  author = {Singer, Philipp and Niebler, Thomas and Strohmaier, Markus and Hotho, Andreas},
  doi = {10.4018/ijswis.2013100103},
  interhash = {3377abe1838bd1f650b317ed1fca4dfe},
  intrahash = {5262c48a2e2791d28610712e3bf5cf55},
  issn = {15526283},
  journal = {International Journal on Semantic Web and Information Systems (IJSWIS)},
  number = 4,
  pages = {41--70},
  publisher = {IGI Global},
  refid = {102707},
  title = {Computing Semantic Relatedness from Human Navigational Paths: A Case Study on Wikipedia},
  url = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijswis.2013100103},
  volume = 9,
  year = 2013
}

@misc{doerfel2014course,
  abstract = {Social tagging systems have established themselves as an important part in
today's web and have attracted the interest from our research community in a
variety of investigations. The overall vision of our community is that simply
through interactions with the system, i.e., through tagging and sharing of
resources, users would contribute to building useful semantic structures as
well as resource indexes using uncontrolled vocabulary not only due to the
easy-to-use mechanics. Henceforth, a variety of assumptions about social
tagging systems have emerged, yet testing them has been difficult due to the
absence of suitable data. In this work we thoroughly investigate three
available assumptions - e.g., is a tagging system really social? - by examining
live log data gathered from the real-world public social tagging system
BibSonomy. Our empirical results indicate that while some of these assumptions
hold to a certain extent, other assumptions need to be reflected and viewed in
a very critical light. Our observations have implications for the design of
future search and other algorithms to better reflect the actual user behavior.},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  interhash = {65f287480af20fc407f7d26677f17b72},
  intrahash = {988ea3a9b85ec0656e27750e4080325c},
  note = {cite arxiv:1401.0629},
  title = {Of course we share! Testing Assumptions about Social Tagging Systems},
  url = {http://arxiv.org/abs/1401.0629},
  year = 2014
}

@techreport{doerfel2014course,
  abstract = {Social tagging systems have established themselves as an important part in
today's web and have attracted the interest from our research community in a
variety of investigations. The overall vision of our community is that simply
through interactions with the system, i.e., through tagging and sharing of
resources, users would contribute to building useful semantic structures as
well as resource indexes using uncontrolled vocabulary not only due to the
easy-to-use mechanics. Henceforth, a variety of assumptions about social
tagging systems have emerged, yet testing them has been difficult due to the
absence of suitable data. In this work we thoroughly investigate three
available assumptions - e.g., is a tagging system really social? - by examining
live log data gathered from the real-world public social tagging system
BibSonomy. Our empirical results indicate that while some of these assumptions
hold to a certain extent, other assumptions need to be reflected and viewed in
a very critical light. Our observations have implications for the design of
future search and other algorithms to better reflect the actual user behavior.},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  interhash = {65f287480af20fc407f7d26677f17b72},
  intrahash = {e360f0bd207806e72305efe16491ebe3},
  note = {cite arxiv:1401.0629},
  title = {Of course we share! Testing Assumptions about Social Tagging Systems},
  url = {http://arxiv.org/abs/1401.0629},
  year = 2014
}

@incollection{niebler2013tagging,
  abstract = {The presence of emergent semantics in social annotation systems has been reported in numerous studies. Two important problems in this context are the induction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches for discovering tag senses exist, little is known about which },
  author = {Niebler, Thomas and Singer, Philipp and Benz, Dominik and Körner, Christian and Strohmaier, Markus and Hotho, Andreas},
  booktitle = {Advances in Information Retrieval},
  doi = {10.1007/978-3-642-36973-5_8},
  editor = {Serdyukov, Pavel and Braslavski, Pavel and Kuznetsov, SergeiO. and Kamps, Jaap and Rüger, Stefan and Agichtein, Eugene and Segalovich, Ilya and Yilmaz, Emine},
  interhash = {8f11f2140d9eb369a7ca42cd527f76c1},
  intrahash = {8583743a7598e78cc7b4e8af71a43902},
  isbn = {978-3-642-36972-8},
  pages = {86-97},
  publisher = {Springer Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-36973-5_8},
  volume = 7814,
  year = 2013
}

@incollection{niebler2013tagging,
  abstract = {The presence of emergent semantics in social annotation systems has been reported in numerous studies. Two important problems in this context are the induction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches for discovering tag senses exist, little is known about which },
  author = {Niebler, Thomas and Singer, Philipp and Benz, Dominik and Körner, Christian and Strohmaier, Markus and Hotho, Andreas},
  booktitle = {Advances in Information Retrieval},
  doi = {10.1007/978-3-642-36973-5_8},
  editor = {Serdyukov, Pavel and Braslavski, Pavel and Kuznetsov, SergeiO. and Kamps, Jaap and Rüger, Stefan and Agichtein, Eugene and Segalovich, Ilya and Yilmaz, Emine},
  interhash = {8f11f2140d9eb369a7ca42cd527f76c1},
  intrahash = {8583743a7598e78cc7b4e8af71a43902},
  isbn = {978-3-642-36972-8},
  pages = {86-97},
  publisher = {Springer Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-36973-5_8},
  volume = 7814,
  year = 2013
}