A Combined Resource of Biomedical Terminology and its Statistics

نویسندگان

  • Tilia Ellendorff
  • Adrian Van der Lek
  • Lenz Furrer
  • Fabio Rinaldi
چکیده

In this paper, we present a large biomedical term resource automatically compiled from the terminology of a selection of biomedical databases. The resource has a very simple and intuitive format and therefore can be easily embedded into a system for biomedical text mining and used as a linguistic resource. It is continuously updated and a user interface makes it possible to compile a new term resource according to individual requirements by selecting specific databases to be included. We present statistics for each included biomedical entity type separately as well as in the context of the combined terminology.

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تاریخ انتشار 2015