Full Metadata Object profiling for flexible geoprocessing workflows

Rosser, Julian F. and Jackson, Mike and Leibovici, Didier (2018) Full Metadata Object profiling for flexible geoprocessing workflows. Transactions in GIS . ISSN 1467-9671

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/932971
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.w...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.
Keywords: Workflow; Metadata; Catalogue services; Web processing service; Big data; Hadoop; Accumulo; Geomesa
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > School of Geography
Identification Number: https://doi.org/10.1111/tgis.12460
Depositing User: Rosser, Julian
Date Deposited: 03 Jul 2018 07:57
Last Modified: 04 May 2020 19:36
URI: http://eprints.nottingham.ac.uk/id/eprint/52704

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