WPS orchestration using the Taverna workbench: The eScience approach

Jesús, Jorge de; Walker, Peter; Grant, Michael; Groom, Steve

doi:10.1016/j.cageo.2011.11.011

Cited by 27 publications

(10 citation statements)

References 18 publications

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“…However, support for geospatial analysis seems to have stopped (the website referenced in the point-inpolygon module has not been updated since 2007). Knime has some geospatial extensions (OpenStreetMap 17 , but apart from the pioneering work of de Jesus et al [84] there appears little progress. VisTrails and Orange are both built on Python, and therefore facilitate plugging-in of Python scripts for all the required analysis steps.…”

Section: Applying the Example Workflowmentioning

confidence: 99%

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Scheider¹,

Ostermann²,

Adams

2017

Future Generation Computer Systems

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In this article, we critically examine the role of semantic technology in data driven analysis. We explain why learning from data is more than just analyzing data, including also a number of essential synthetic parts that suggest a revision of George Box's model of data analysis in statistics. We review arguments from statistical learning under uncertainty, workflow reproducibility, as well as from philosophy of science, and propose an alternative, synthetic learning model that takes into account semantic conflicts, observation, biased model and data selection, as well as interpretation into background knowledge. The model highlights and clarifies the different roles that semantic technology may have in fostering reproduction and reuse of data analysis across communities of practice under the conditions of informational uncertainty. We also investigate the role of semantic technology in current analysis and workflow tools, compare it with the requirements of our model, and conclude with a roadmap of 8 challenging research problems which currently seem largely unaddressed.

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Section: Applying the Example Workflowmentioning

confidence: 99%

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Scheider¹,

Ostermann²,

Adams

2017

Future Generation Computer Systems

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“…As stated above graphical editors are available for most W3C-based orchestration languages. Full-fledged development environments for service composition like Taverna [41] have successfully been adapted to work with WSDL described WPS and feasibility was demonstrated [42]. This makes Taverna a considerable option for workflow modeling and a good example.…”

Section: Ows Orchestrationmentioning

confidence: 99%

The RichWPS Environment for Orchestration

Bensmann¹,

Alcacer-Labrador²,

Ziegenhagen³

et al. 2014

IJGI

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Web service (WS) orchestration can be considered as a fundamental concept in service-oriented architectures (SOA), as well as in spatial data infrastructures (SDI). In recent years in SOA, advanced solutions were developed, such as realizing orchestrated web services on the basis of already existing more fine-granular web services by using standardized notations and existing orchestration engines. Even if the concepts can be mapped to the field of SDI, on a conceptual level the implementations target different goals. As a specialized form of a common web service, an Open Geospatial Consortium (OGC) web service (OWS) is optimized for a specific purpose. On the technological level, web services depend on standards like the Web Service Description Language (WSDL) or the Simple Object Access Protocol (SOAP). However OWS are different. Consequently, a new concept for OWS orchestration is needed that works on the interface provided by OWS. Such a concept is presented in this work. The major component is an orchestration engine integrated in a Web Processing Service (WPS) server that uses a domain specific language (DSL) for workflow description. The developed concept is the base for the realization of new functionality, such as workflow testing, and workflow optimization.

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“…For example, ArcGIS 10.1 or QGIS 1.8 (with WPS plugin) are able to consume the proposed services and to execute the different tasks of data download and map production/publication. More specifically, with the map production/publication workflow, swat_outputsub, swat_join, and swat_publisher processes can be chained because output of a process can be used as input for the following process [39]. Since version 3.2, PyWPS implements a SOAP/WSDL interface enabling chaining WPS services in WSDL-based Workflow Management Systems.…”

Section:  Swat_extractormentioning

confidence: 99%

“…Since version 3.2, PyWPS implements a SOAP/WSDL interface enabling chaining WPS services in WSDL-based Workflow Management Systems. [39].…”

Section:  Swat_extractormentioning

confidence: 99%

OWS4SWAT: Publishing and Sharing SWAT Outputs with OGC standards

Giuliani¹,

Rahman²,

Ray³

et al. 2013

SpecialIssue

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Abstract-The Soil and Water Assessment Tool (SWAT) is a widely used hydrological model that produces several useful outputs (e.g. evapotranspiration, soil moisture, aquifer recharge, river discharge) as text files. Currently, visualizing and publishing SWAT outputs as geospatial data requires a lot of time and repetitive processing steps. Moreover, data used and produced are often not interoperable and restricted to software like ArcGIS or MapWindow. Consequently, integrating SWAT outputs with other datasets and/or models is difficult. To solve these issues, we propose an innovative, scalable and interoperable framework allowing (1) the automatization of post-processing tasks using orchestrated Web Processing Services (WPS) and (2) the publishing of SWAT outputs using interoperable data services (e.g Web Feature Service, Web Map Service). The proposed framework simplifies map/data production and facilitates exchange/integration of hydrological data with other sources.

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WPS orchestration using the Taverna workbench: The eScience approach

Cited by 27 publications

References 18 publications

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

The RichWPS Environment for Orchestration

OWS4SWAT: Publishing and Sharing SWAT Outputs with OGC standards

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