Abstract
The aim of this article is to analyze search and retrieval of workflows. It represents workflows relatedness based on transfer learning. Workflows from different domains (e.g. scientific or business) have similarities and, more important, differences between themselves. Some concepts and solutions developed in one domain may be readily applicable to the other. This paper proposes a cross-domain concept extraction by similarity measurement and has a new research effort at the intersection of workflow domains. It deals with the huge amount of structured and unstructured data (Big Data) that is a demanding task when working on real-life event logs. The proposed method in this paper gives a general solution in the sense that it can be coupled to any Process Aware Information System.
Highlights
Workflows are sequences of process components that can be categorized in different domains including scientific workflows and business workflows
While scientific workflows describe the setup of scientific experiments, by enabling scientists to focus on domain-specific aspects of their work and not dealing with complex data management and software issues, business process models describe the processes of companies or other organizations focusing on the sequences of activities, roles, and events
It gives an approach to cross-domain concept extraction (CDCE) and so it can work on every workflow domain, e.g. scientific and business workflows
Summary
Workflows are sequences of process components that can be categorized in different domains including scientific workflows and business workflows. While scientific workflows describe the setup of scientific experiments, by enabling scientists to focus on domain-specific aspects of their work (e.g. in astronomy, biology, etc) and not dealing with complex data management and software issues (see Fig. 1 for example), business process models describe the processes of companies or other organizations focusing on the sequences of activities, roles, and events. Workflow usage nowadays grows in many parts of computer science world. Software scientists are interested in forming workflows as exchangeable classes of tools or objects to tackle process flows. In line with this effort the usage of workflow in public domain grows; workflow can be executed in different implementation styles depended on the process context, e.g. e-commerce, bioinformatics, etc
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