A semantic approach for the requirement-driven discovery of web services
  in the Life Sciences
  Research in the Life Sciences depends on the integration of large,
distributed and heterogeneous data sources and web services. The discovery of
which of these resources are the most appropriate to solve a given task is a
complex research question, since there is a large amount of plausible
candidates and there is little, mostly unstructured, metadata to be able to
decide among them.We contribute a semi-automatic approach,based on semantic
techniques, to assist researchers in the discovery of the most appropriate web
services to full a set of given requirements.
