Full Metadata Object profiling for flexible geoprocessing workflows

Rosser, Julian F.; Jackson, Mike; Leibovici, Didier

Abstract

The design and running of complex geoprocessing workflows is an increasingly common geospatial modelling and analysis task. The Business Process Model and Notation (BPMN) standard, which provides a graphical representation of a workflow, allows stakeholders to discuss the scientific conceptual approach behind this modelling while also defining a machine-readable encoding in XML. Previous research has enabled the orchestration of Open Geospatial Consortium (OGC) Web Processing Services (WPS) with a BPMN workflow engine. However, the need for direct access to pre-defined data inputs and outputs results in a lack of flexibility during composition of the workflow and of efficiency during execution. This article develops metadata profiling approaches, described as two possible configurations, which enable workflow management at the meta-level through a coupling with a metadata catalogue. Specifically, a WPS profile and a BPMN profile are developed and tested using open-source components to achieve this coupling. A case study in the context of an event mapping task applied within a big data framework and based on analysis of the Global Database of Event Language and Tone (GDELT) database illustrates the two different architectures.

Citation

Rosser, J. F., Jackson, M., & Leibovici, D. (2018). Full Metadata Object profiling for flexible geoprocessing workflows. Transactions in GIS, 22(5), 1221-1237. https://doi.org/10.1111/tgis.12460

• Journal Article Type: Article
• Acceptance Date: May 18, 2018
• Online Publication Date: Aug 26, 2018
• Publication Date: Oct 31, 2018
• Deposit Date: Jul 3, 2018
• Publicly Available Date: Aug 27, 2020
• Journal: Transactions in GIS
• Print ISSN: 1361-1682
• Electronic ISSN: 1467-9671
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 22
• Issue: 5
• Pages: 1221-1237
• DOI: https://doi.org/10.1111/tgis.12460
• Keywords: Workflow; Metadata; Catalogue services; Web processing service; Big data; Hadoop; Accumulo; Geomesa
• Public URL: https://nottingham-repository.worktribe.com/output/932971
• Publisher URL: https://onlinelibrary.wiley.com/doi/10.1111/tgis.12460
• Additional Information: This is the peer reviewed version of the following article: Rosser JF, Jackson M, Leibovici DG. Full Meta Object profiling for flexible geoprocessing workflows. Transactions in GIS. 2018;00:1–17. https://doi.org/10.1111/tgis.12460, which has been published in final form at https://onlinelibrary.wiley.com/doi/10.1111/tgis.12460. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.