Automatic Workflow Management for Spatial Heritage Data

The Zamani project archives high resolution 3D laser scans and derivative data sets. The process of creating these derivatives is not formally specified, repeatable or machine-executable. As a result, reuse and regeneration of derivative datasets is often poorly understood and difficult to execute. The solution proposed in this paper is a workflow management system to formally and graphically specify the interrelationships among the derivative datasets. The applicability of the resulting system was assessed through a user experience study and a series of applicability tests. It took the user study participants an average of 21 minutes---with an interquartile of seven minutes---to complete the most complex assigned task. Overall, 76% of the participants found the system useful, 71% found it easy and simple to use, 90% found it easy to learn, and 85% were satisfied with the experience with the system. The applicability of this proposed approach was validated though the successful integration of five 3-D modelling workflows, and a user experience study revealed that users would be able to successfully complete workflow tasks within the expected time. In addition, the user experience evaluation indicates that users were satisfied with the system and found it easy to use and learn.