Abstract

Many different kinds of users may need to compose scientific workflows for different purposes. This chapter focuses on the requirements and challenges of scientific workflow composition. They are motivated by our work with two particular application domains: physics-based seismic hazard analysis (Chapter 10) and data-intensive natural language processing [238]. Our research on workflow creation spans fully automated workflow generation (Chapter 23) using artificial intelligence planning techniques for assisted workflow composition [237,276] by combining semantic representations of workflow components with formal properties of correct workflows. Other projects have used similar techniques in different domains to support workflow composition through planning and automated reasoning [286,289,415] and semantic representations (Chapter 19). As workflow representations become more declarative …

Date

March 20, 2026

Authors

Yolanda Gil

Book

Workflows for e-science: Scientific workflows for Grids

Pages

244-257

Publisher

Springer London