@article{citeulike:1220636,
  abstract = {In our work the traditional bipartite model of ontologies is extended with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.},
  author = {Mika, Peter},
  booktitle = {Selected Papers from the International Semantic Web Conference, International Semantic Web Conference (ISWC2005)},
  citeulike-article-id = {1220636},
  doi = {http://dx.doi.org/10.1016/j.websem.2006.11.002},
  interhash = {5bba04607af19c94d2438ae13f362649},
  intrahash = {13eb27ecb7ed77655f08adefe6186ea5},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  month = {March},
  number = 1,
  pages = {5--15},
  posted-at = {2008-11-18 14:30:12},
  priority = {5},
  title = {Ontologies are us: A unified model of social networks and semantics},
  url = {http://dx.doi.org/10.1016/j.websem.2006.11.002},
  volume = 5,
  year = 2007
}

@inproceedings{schmitz06-inducing,
  abstract = {In this paper, we describe some promising initial results in inducing ontology from the Flickr tag vocabulary, using a subsumption-based model. We describe the utility of faceted ontology as a supplement to a tagging system and present our model and results. We propose a revised, probabilistic model using seed ontologies to induce faceted ontology, and describe how the model can integrate into the logistics of tagging communities.},
  address = {Edinburgh, Scotland},
  author = {Schmitz, Patrick},
  booktitle = {Proceedings of the Workshop on Collaborative Tagging at WWW2006},
  interhash = {1335f4ef87f951e6edf4fd94f885d3a2},
  intrahash = {f913a4ad3a27582ae5d4d269fe38dc5c},
  lastdatemodified = {2006-10-12},
  lastname = {Schmitz},
  month = may,
  own = {own},
  pdf = {schmitz06-inducing.pdf},
  read = {readnext},
  title = {Inducing Ontology from Flickr Tags},
  url = {http://.citeulike.org/user/ryanshaw/article/740688},
  year = 2006
}

@article{keyhere,
  abstract = {Representing knowledge about researchers and research communities is a prime use case for distributed, locally maintained, interlinked and highly structured information in the spirit of the Semantic Web. In this paper we describe the publicly available ‘Semantic Web for Research Communities’ (},
  author = {Sure, York and Bloehdorn, Stephan and Haase, Peter and Hartmann, Jens and Oberle, Daniel},
  interhash = {2bc7b1b25e3ed3fd4edc0749888dd3e1},
  intrahash = {817dae00248c81be82ff0a3955886e51},
  journal = {Progress in Artificial Intelligence},
  pages = {218--231},
  title = {The SWRC Ontology - Semantic Web for Research Communities.},
  url = {http://dx.doi.org/10.1007/11595014_22},
  year = 2005
}

@inproceedings{hoser2006semantic,
  abstract = {A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures currently receive high attention in the Semantic Web community, there are only very
 few SNA applications, and virtually none for analyzing the
 structure of ontologies.

We illustrate the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.},
  author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {The Semantic Web: Research and Applications},
  interhash = {344ec3b4ee8af1a2c6b86efc14917fa9},
  intrahash = {9a2c77c7c7a1b19cd16df08cca65f706},
  month = {June},
  note = {Proceedings of the 3rd European Semantic Web Conference, Budva, Montenegro},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Semantic Network Analysis of Ontologies},
  year = 2006
}

@inproceedings{schmitz2006mining,
  address = {Berlin, Heidelberg},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Data Science and Classification: Proc. of the 10th IFCS Conf.},
  editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and {\v Z}iberna, A.},
  interhash = {20650d852ca3b82523fcd8b63e7c12d7},
  intrahash = {1e79a0f1c79561073d14434adce1e890},
  pages = {261--270},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Mining Association Rules in Folksonomies},
  year = 2006
}

@article{brewster2007dio,
  author = {Brewster, C. and Iria, J. and Zhang, Z. and Ciravegna, F. and Guthrie, L. and Wilks, Y.},
  interhash = {2718d2549472483902eb05db48b4eee9},
  intrahash = {0ca836cd4474b773b7329fd65770049d},
  journal = {Recent Advances in Natural Language Processing (RANLP 07)},
  title = {{Dynamic iterative ontology learning}},
  year = 2007
}

@article{iria2006itp,
  author = {Iria, J. and Brewster, C. and Ciravegna, F. and Wilks, Y.},
  interhash = {092944c0f8d3a0ac6ff55ff0c49f478c},
  intrahash = {6f7371abe4beb8fd57b733710d90a202},
  journal = {Proc. of LREC2006, Genoa},
  title = {{An incremental tri-partite approach to ontology learning}},
  year = 2006
}

@article{uren2006semantic,
  author = {Uren, V. and Cimiano, P. and Iria, J. and Handschuh, S. and Vargas-Vera, M. and Motta, E. and Ciravegna, F.},
  interhash = {467a510046215757252332f199733655},
  intrahash = {d74d3d10222056ae2c603e2b9236cd91},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  number = 1,
  pages = {14--28},
  publisher = {Elsevier},
  title = {{Semantic annotation for knowledge management: Requirements and a survey of the state of the art}},
  url = {http://scholar.google.de/scholar.bib?q=info:28brRs9iGmMJ:scholar.google.com/&output=citation&hl=de&ct=citation&cd=0},
  volume = 4,
  year = 2006
}