Full Metadata Object profiling for flexible geoprocessing workflows
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 appro...
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| Format: | Article |
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Wiley
2018
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| Online Access: | https://eprints.nottingham.ac.uk/52704/ |
| _version_ | 1848798790249611264 |
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| author | Rosser, Julian F. Jackson, Mike Leibovici, Didier |
| author_facet | Rosser, Julian F. Jackson, Mike Leibovici, Didier |
| author_sort | Rosser, Julian F. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:25:22Z |
| format | Article |
| id | nottingham-52704 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:25:22Z |
| publishDate | 2018 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-527042020-05-04T19:36:50Z https://eprints.nottingham.ac.uk/52704/ Full Metadata Object profiling for flexible geoprocessing workflows Rosser, Julian F. Jackson, Mike Leibovici, Didier 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. Wiley 2018-08-26 Article PeerReviewed Rosser, Julian F., Jackson, Mike and Leibovici, Didier (2018) Full Metadata Object profiling for flexible geoprocessing workflows. Transactions in GIS . ISSN 1467-9671 Workflow; Metadata; Catalogue services; Web processing service; Big data; Hadoop; Accumulo; Geomesa https://onlinelibrary.wiley.com/doi/10.1111/tgis.12460 doi:10.1111/tgis.12460 doi:10.1111/tgis.12460 |
| spellingShingle | Workflow; Metadata; Catalogue services; Web processing service; Big data; Hadoop; Accumulo; Geomesa Rosser, Julian F. Jackson, Mike Leibovici, Didier Full Metadata Object profiling for flexible geoprocessing workflows |
| title | Full Metadata Object profiling for flexible geoprocessing workflows |
| title_full | Full Metadata Object profiling for flexible geoprocessing workflows |
| title_fullStr | Full Metadata Object profiling for flexible geoprocessing workflows |
| title_full_unstemmed | Full Metadata Object profiling for flexible geoprocessing workflows |
| title_short | Full Metadata Object profiling for flexible geoprocessing workflows |
| title_sort | full metadata object profiling for flexible geoprocessing workflows |
| topic | Workflow; Metadata; Catalogue services; Web processing service; Big data; Hadoop; Accumulo; Geomesa |
| url | https://eprints.nottingham.ac.uk/52704/ https://eprints.nottingham.ac.uk/52704/ https://eprints.nottingham.ac.uk/52704/ |