A knowledge-based approach for structuring cyclic workflows

Abstract

This paper showcases the Cycle Orchestrator, a microservices infrastructure designed to structure and manage workflows related to heterogeneous data, through a knowledge-based perspective. It aims at leveraging reasoning, explainability and collaboration among users over experiments that comprise workflow executions. We briefly discuss about design and implementation aspects to support the lifecycle of workflows (i.e., modeling, configuration, execution, provenance tracking and querying), exploring a holistic representation called Hyperknowledge that is amenable to be consumed and reasoned upon.