Argos: a framework for automatically generating data processing workflows

Demo. We demonstrate Argos, a framework to automatically generate data processing workflows. First, we show how to assign formal semantics to data and operations using to a domain ontology. Specifically, we define data contents using relational descriptions in an expressive logic. Second, we show a novel planner that uses relational subsumption to connect the output of a data processing operation with the input of another. Our modeling methodology has the significant advantage that the planner can automatically insert adaptor operations wherever necessary to bridge the inputs and outputs of operations in the workflow. We have implemented the approach in a transportation modeling domain.