A Semantic Approach to Workflow Management and Reuse for Research Problem Solving

Abstract

The investigation proposes the application of an ontological semantic approach to describing workflow control patterns, research workflow step patterns, and the meaning of the workflows in terms of domain knowledge. The approach can provide wide opportunities for semantic refinement, reuse, and composition of workflows. Automatic reasoning allows verifying those compositions and implementations and provides machine-actionable workflow manipulation and problem-solving using workflows. The described approach can take into account the implementation of workflows in different workflow management systems, the organization of workflows collections in data infrastructures and the search for them, the semantic approach to the selection of workflows and resources in the research domain, the creation of research step patterns and their implementation reusing fragments of existing workflows, the possibility of automation of problemsolving based on the reuse of workflows. The application of the approach to CWFR conceptions is proposed.

Integrating HPC, AI, and Workflows for Scientific Data Analysis: Report from Dagstuhl Seminar 23352

“…• Discovering Similar Workflows: Semantic code search powered by AI can assist researchers in finding workflows that are functionally or structurally similar to their own. Semantic techniques (Starlinger et al 2014;Skvortsov and Stupnikov 2022) can be especially beneficial when looking for existing solutions to similar scientific problems, thus promoting knowledge sharing and collaboration.…”