@article{berendt2010bridging,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  doi = {DOI: 10.1016/j.websem.2010.04.008},
  groups = {public},
  interhash = {4969eb2b7bf1fabe60c5f23ab6383d77},
  intrahash = {f8d7bc2af5753906dc3897196daac18c},
  issn = {1570-8268},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  journalpub = {1},
  note = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences},
  number = {2-3},
  pages = {95 - 96},
  timestamp = {2010-08-09 07:26:14},
  title = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0},
  url = {http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7},
  username = {dbenz},
  volume = 8,
  year = 2010
}

@inproceedings{rattenbury2007towards,
  abstract = {We describe an approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag's usage patterns. In particular, we focus on the problem of extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website that supports time and location (latitude/longitude) metadata. We analyze two methods inspired by well-known burst-analysis techniques and one novel method: Scale-structure Identification. We evaluate the methods on a subset of Flickr data, and show that our Scale-structure Identification method outperforms the existing techniques. The approach and methods described in this work can be used in other domains such as geo-annotated web pages, where text terms can be extracted and associated with usage patterns.},
  address = {New York, NY, USA},
  author = {Rattenbury, Tye and Good, Nathaniel and Naaman, Mor},
  booktitle = {SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
  doi = {10.1145/1277741.1277762},
  file = {rattenbury2007towards.pdf:rattenbury2007towards.pdf:PDF},
  groups = {public},
  interhash = {8b02d2b3fdbb97c3db6e3b23079a56e5},
  intrahash = {bf6f73d2ef74ca6f1d355fb5688b673c},
  isbn = {978-1-59593-597-7},
  pages = {103--110},
  publisher = {ACM Press},
  timestamp = {2010-11-10 15:35:25},
  title = {Towards automatic extraction of event and place semantics from flickr tags},
  url = {http://dx.doi.org/10.1145/1277741.1277762},
  username = {dbenz},
  year = 2007
}

@inproceedings{omelayenko2001learning,
  abstract = {The next generation of the Web, called Semantic Web, has to improve the Web with semantic (ontological) page annotations to enable knowledge-level querying and searches. Manual construction of these ontologies will require tremendous efforts that force future integration of machine learning with knowledge acquisition to enable highly automated ontology learning. In the paper we present the state of the-art in the field of ontology learning from the Web to see how it can contribute to the task of semantic Web querying. We consider three components of the query processing system: natural language ontologies, domain ontologies and ontology instances. We discuss the requirements for machine learning algorithms to be applied for the learning of the ontologies of each type from the Web documents, and survey the existent ontology learning and other closely related approaches.},
  author = {Omelayenko, Borys},
  booktitle = {Proceedings of the International Workshop on Web Dynamics, held in conj. with the 8th International Conference on Database Theory (ICDT’01), London, UK},
  file = {omelayenko2001learning.pdf:omelayenko2001learning.pdf:PDF},
  groups = {public},
  interhash = {011d45b904b02fdf1a65122d2832710b},
  intrahash = {3edf80da8b39eefeea46379581628adf},
  timestamp = {2011-02-02 15:03:05},
  title = {Learning of Ontologies for the Web: the Analysis of Existent Approaches},
  url = {http://www.dcs.bbk.ac.uk/webDyn/webDynPapers/omelayenko.pdf},
  username = {dbenz},
  year = 2001
}