OGC Standard for the Interoperability of Agricultural Models: Data and Processes at the Same Level, by Didier Leibovici
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The document discusses the OGC standard for interoperability in agricultural models, emphasizing a multidisciplinary approach that integrates genetic, phenotypic, environmental, and geospatial data. It outlines the GRASP project, which aims to enhance food security through data management and workflow modeling, using various standards and tools such as BPMN 2.0 and geospatial services. Key challenges include ensuring data quality, error propagation, and the necessity of semantic frameworks for effective workflow composition.
OGC Standard for the Interoperability of Agricultural Models: Data and Processes at the Same Level, by Didier Leibovici
- 1. 1 OGC standard for the Interoperability of agriculture models: data and processes at the same level Didier G. Leibovici, Suchith Anand, Mike Jackson University of Nottingham, UK Agricultural Data Interest Group (IGAD) Pre-Meeting 21st to 22nd September 2015 INRA, Paris (France)
- 3. 3 from prototyping to operational a multidisciplinary project between Crop sciences / Plant Sciences /Agronomy & Geospatial Sciences • genetic & phenotypic & trait information • agricultural & environmental information • geospatial architecture & data & models management GRASP Geospatial Resource for Agricultural Species and Pests “Geospatial Resource for Agricultural Species and Pests with integrated workflow modelling to support Global Food Security (GRASP-GFS)” (2013)
- 4. Generic workflow of the GRASP project use and reuse of available information 4
- 6. Spatial Data Infrastructure • GeogermplasmDB genotypic variations CropStoreDB + OpenGIS ( using PostGIS) • Workflow composition crop modelling e.g. coupling a disease model with APSIM • Quality & error propagation metadata & decision classical error propagation (multiple-run) meta-propagation of uncertainty (WPS) 6 major crops (wheat) and underutilised crop (Bambara groundnut)
- 8. Wheat Eyespot disease: Harvest Reduction Model 8 WPS BPMN Workflow as WPS Practice … different … for now! Workflow yes But within AP
- 9. Workflow composition of Data & Processes 9 BPMN 2.0 WPS, WFS, WCS CSW … Semantic Framework…
- 10. OS OS & Workflow management • Open standard BPMN 2.0, (metamodel) ISO 19115 (-1) / ISO19157 (metadata quality see also meta- propagation), ISO19119 Geoprocessing OGC WPS Datasets OGC WFS /WCS /SOS • Open Source - JBPM / Camunda / together Shark - pyWPS or WPS4R (52N) 10 Workflow Taverna (uses SCUFL2 not BPMN)
- 11. Quality & error propagation 11 Where really Datasets & GeoProcessing are on equal footing!
- 12. Some conclusions/ hopes! • Workflow Research Environment • Data Quality & Processing Quality DQ PQ sensitivity and uncertainty analysis e.g., MetaPUnT • Data and Process discovery (metadata) ISO 19115-1 / CSW / metadata brokers • Workflow editor vs Workflow Composition and Workflow Analytical tools … semantic needed • Communities of model users&modellers • H2020 EINFRA-9 … 12
Editor's Notes
- #2: In order to facilitate research and sharing of modelling approach in the Agriculture domain for food security, possible interoperability settings for data and processes will be presented. This is more a best practice than something new as the standards already exist. Furthermore, analysing models and sub-models from their representations within a workflow encoding standard (graphical and XML: BPMN2.0) allow communities to share and combine their models into more complex modelling. These two aspect put data and processes at the same level within dedicated infrastructures. We will present the general GRASP-WRE principle (Geospatial Resources for Agriculture Species and Pests - Workflow Research Environment) and its genesis at the University of Nottingham. OGC standards for data and processes OMG standards (the BPMN) to combine these authoring models / composing models / sharing models (as WPS and as BPMN part of the metadata DescribeProcess) Tool to present conceptual models but also to run them and do analytical things such as analysing error propagation global local visualising data (final outputs but also along the chains of processes Papers on meta-rpopagation of uncertainty Cageo BPMN chaning of WPS i.e. quality infrmation is needed for both data and processes This was syntactic interoperability mostly but this gives the step for semantic interoperability or for king the most of semantic intereoprebility i.e. when composing the workflow
- #3: Models may be made to operate at a given scale but they have an impact at different scales and upscaling /extrapolation or dowscaling may be required/desired at some point!
- #5: Workflow as a computational model but also as set and order of tasks to achieve