Abstract
Managing the lifecycle of RDF datasets is a cumbersome activity. Substantial efforts are spent on reproducing datasets over time. But, these efforts can be reduced by a data management workflow framework. We present the Linked Data Workflow Project ontology as the knowledge model for such a workflow framework. The ontology is centered on the Plan, Method, and Execution classes, facilitating the description of: i) the methodological process that guides the lifecycle of RDF datasets, ii) the complete plan of the RDF dataset production workflow, and iii) the executions of workflow. As a result, our approach enables the reproducibility and repeatability of Linked Data processing steps over time.