UPM has been involved in the creation of ontologies to create semantic descriptions of data sources and data-intensive processes, and in the provision o technologies that are make use of those semantic descriptions in order to support data-intensive processes, namely a semantic registry that holds descriptions of processing elements, functions and types. This includes the generation of ontologies about data mining and about datatypes commonly used in data mining applications, together with the provision of an RDF-enabled OGSA-DAI-compliant registry that is able to handle SPARQL requests about the data-intensive processing elements available in the platform and provide added-value functionalities such as the finding of processing elements that can replace existing ones in data-intensive workflows.
The members of OEG involved in the development of ADMIRE project are:
There will be soon a book published, which summarises all the results of the project and provides a visionary view on the next challenges for data-intensive research. In the meantime, you can check the ADMIRE project library: link
The most important publication is:
Created under Creative Commons License - 2015 OEG.