@incollection{Ananiadou:2009,
  abstract = {Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United Kingdom National Centre for Text Mining.
},
  added-at = {2009-02-23T00:18:47.000+0100},
  address = {Hershey, PA},
  author = {Ananiadou, Sophia},
  biburl = {http://www.bibsonomy.org/bibtex/2d09b173e6b639e606ffa47f7f7fba5ab/diego_ma},
  booktitle = {Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration},
  chapter = 1,
  editor = {Prince, Violaine and Roche, Mathieu},
  interhash = {d9eac6b1c5678fff4997f30dd9e6a3f5},
  intrahash = {d09b173e6b639e606ffa47f7f7fba5ab},
  keywords = {NLP biomedical},
  pages = {8 pages},
  publisher = {IGI Global},
  timestamp = {2009-02-23T00:18:47.000+0100},
  title = {Text Mining for Biomedicine},
  url = {http://www.igi-global.com/reference/details.asp?ID=33268},
  year = 2009
}