@inproceedings{bollegala2007measuring,
  address = {New York, NY, USA},
  author = {Bollegala, Danushka and Matsuo, Yutaka and Ishizuka, Mitsuru},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242675},
  file = {:bollegala2007measuring.pdf:PDF},
  interhash = {46247eb09b5e87a6e5d4a8b2cf821ee7},
  intrahash = {c957aa2fd65df63c8c4af14b1fc827c5},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {757--766},
  publisher = {ACM},
  title = {Measuring semantic similarity between words using web search engines},
  url = {http://www2007.org/papers/paper632.pdf},
  year = 2007
}

@misc{leydesdorff2010semantic,
  abstract = { Meaning can be generated when information is related at a systemic level.Such a system can be an observer, but also a discourse, for example,operationalized as a set of documents. The measurement of semantics assimilarity in patterns (correlations) and latent variables (factor analysis)has been enhanced by computer techniques and the use of statistics; forexample, in "Latent Semantic Analysis". This communication provides anintroduction, an example, pointers to relevant software, and summarizes thechoices that can be made by the analyst. Visualization ("semantic mapping") isthus made more accessible.},
  author = {Leydesdorff, Loet and Welbers, Kasper},
  file = {leydesdorff2010semantic.pdf:leydesdorff2010semantic.pdf:PDF},
  groups = {public},
  interhash = {ae82f513935ffa158395683303d52517},
  intrahash = {cee25eef0438b6ac2998041dbd93016e},
  note = {cite arxiv:1011.5209},
  timestamp = {2010-11-24 10:21:03},
  title = {The semantic mapping of words and co-words in contexts},
  url = {http://arxiv.org/abs/1011.5209},
  username = {dbenz},
  year = 2010
}