Supervision

The subject of this thesis is collection and storage of the provenance data in a Grid system. Provenance is defined as derivation path of a piece of data. Nowadays Grid systems are equipped with tools and components forming collaborative space for science, called virtual laboratories. These modern scientific environments allows for executing in silico experiments in such disciplines as biochemistry, astronomy or quantum physics. In each of those cases, scientists are highly interested in resem-blances between experiments and results, tracing data entities or attaching metadata to obtained results. All these requirements can be fulfilled by tracing, storing and querying provenance in the system. This thesis presents PROToS- provenance tracking system designed to meet specific requirements of the ViroLab virtual laboratory. It is based around semantic modelling of provenance and system’s data and motivated by the Semantic Grid vision. Apart from design and implementation of the PROToS, also integration in challenging envi-ronment of the ViroLab is presented