Knowledge organization for modelling workflows in Taverna environment

Today Workflow Management Systems (WFMS), like Taverna and Kepler, have a very important place in the everyday work of the scientist. These tools support the access to computational resources and act as interface for building complex data processing chains. The next step is to support decisions of the researcher on autonomously developing workflow parts guided by requirements of the scientist while she/he is working on the high-level goal of the experiment. To this aim, it is necessary an ontology to store the knowledge related to the experiments and tools used, and to make this knowledge available not only to the scientist, but also to a suitable artificial intelligent system. In this paper we present an ontological approach for knowledge organization in WFMS. The proposed approach is based on a previously developed ontology, called Data-Problem-Solution-to-Experiment (DPS2E); here we aim at matching the abstract workflow obtained by means of our ontology into a concrete set of processes in Taverna environment. As results, we instanced an ontology that uses Taverna components for making two different concrete workflows; then, we make them available in myExperiment repository.