Abstract
The overwhelming amount of heterogeneous data produced by scientific experimentsrequires appropriate models (and formalisms) suited to express the meaning of data forhumans and machines. Data semantics can play a key role in data exchange acrossscientific repositories. However, there is a lack of techniques to enable semantic retrievaland interoperability of scientific data. The problem c…