A conceptual modeling and execution framework for process based scientific applications

Abstract

In recent years, scientists are dealing more and more with data intensive and complex applications. Many scientific workflow systems emerged which adapt technology and methods stemming from the workflow management area and that should support scientists in understanding and working with their complex scenarios. However as these systems often descend from problem solving environments, many of them are missing a well structured conceptual method for process modeling and execution as a foundation. In this publication we present a comprehensive and well structured method for developing and analyzing process based scientific applications. This method is constituted by a process modeling framework, a data integration framework and a model driven approach to build up infrastructures for process modeling and execution.

An ontology based approach to automating data integration in scientific workflows

“…In POPM notion each issue of the domain is handled and modeled by a separate perspective. It is beyond the scope of this paper to discuss i>PM and POPM but it is worthy to mention here that in our previous publications [16,17], we have demonstrated various advantages of POPM approach towards scientific workflows. We define scientific workflow as a set of work steps connected through control flow link.…”