Loading OWL files (RDF version of videolectures.net dataset) to Sesame/OWLIM repository

The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/). Operator "Build knowledge base" is responsible for collecting data either from OWL files or SPARQL endpoints or RDF repositories and provide it to the subsequent operators in a workflow. In this workflow it is parametrized in this way, that is builds a Sesame/OWLIM repository from the files specified in "Load file" operators. Paths to OWL files are specified as parameter values in "Load file" operators, and path to the Sesame/OWLIM repository in "Build knowledge base" operator.

After execution of the workflow the repository will store the Digital Multimedia Repositories Ontology (DMRO), and DMRO-based RDF version of videolectures.net dataset (see: http://www.e-lico.eu/?q=node/288, http://www.ecmlpkdd2011.org/challenge.php) as a Sesame/OWLIM repository.

The files referred to in "Load file" operators are included in myExperiment's RMonto pack as a zipped file.

A repository to be created (referred to in "Build knowledge base" operator) is referenced in parameters of some other workflows in the RMonto pack.