  The paper illustrates the research result of the application of semantic
technology to ease the use and reuse of digital contents exposed as Linked Data
on the web. It focuses on the specific issue of explorative research for the
resource selection: a context dependent semantic similarity assessment is
proposed in order to compare datasets annotated through terminologies exposed
as Linked Data (e.g. habitats, species). Semantic similarity is shown as a
building block technology to sift linked data resources. From semantic
similarity application, we derived a set of recommendations underlying open
issues in scaling the similarity assessment up to the Web of Data.
