[Myexperiment-discuss] FW: XML Daily Newslink. Monday, 17 November 2008

[Linde, A.E.]

------ Forwarded Message
> From: Robin Cover <address@hidden>
> Date: Tue, 18 Nov 2008 12:33:36 -0000
> To: XML Daily Newslink <address@hidden>
> Subject: XML Daily Newslink. Monday, 17 November 2008

> XML Daily Newslink.  Monday, 17 November 2008
> A Cover Pages Publication http://xml.coverpages.org/
> Provided by OASIS http://www.oasis-open.org
> Edited by Robin Cover
>
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> HEADLINES:
>
> * Equifax and Parity Offer Online I-Card Beta Test
> * Combining the Power of Taverna and caGrid: Scientific Workflows that
>    Enable Web-Scale Collaboration
> * W3C Publishes XML Signature Best Practices First Public Draft
> * RESTful Web Services Development Checklist
> * Identity-based Encryption Architecture and Supporting Data Structures
> * OASIS Forms Technical Committee to Advance CMIS as an Open Standard
> * Collaboration Is At The Heart Of Open Source Content Management
> * Working on Jing and Trang
> * OASIS Forms SOA for Telecom (SOA-Tel) Technical Committee
> * Validating Code Lists with Schematron
> * JTC1 SC 34 Presentation to the JTC 1 Plenary in Nara, Japan
>
> ...
>
> ----------------------------------------------------------------------
>
> Combining the Power of Taverna and caGrid: Scientific Workflows that
> Enable Web-Scale Collaboration
> Wei Tan, Ian Foster, Ravi Madduri; IEEE Internet Computing
>
> Service-oriented architecture represents a promising approach to
> integrating data and software across different institutional and
> disciplinary sources, thus facilitating Web-scale collaboration while
> avoiding the need to convert different data and software to common
> formats. The US National Cancer Institute's Biomedical Information Grid
> program seeks to create both a service-oriented infrastructure (caGrid)
> and a suite of data and analytic services. Workflow tools in caGrid
> facilitate both the use and creation of services by accelerating
> service discovery, composition, and orchestration tasks. The authors
> present caGrid's workflow requirements and explain how they met these
> requirements by adopting and extending the Taverna system. Taverna is
> an open source workflow workbench developed in the myGrid project; its
> goal is to facilitate the use of workflows and distributed resources
> within the e-science community. Taverna provides both a workflow-
> authoring tool that uses a proprietary definition language called Scufl,
> and an execution engine compliant with this language. To validate our
> decision to choose Taverna, look at some research challenges that occur
> in the life cycle of scientific workflows and the Taverna features that
> align with them. This life cycle has four stages: services discovery,
> workflow composition, workflow execution, and result analysis. We
> noticed that the service interaction process (discovery, engagement,
> and enactment) proposed in the Semantic Web Service Architecture (SWSA)
> is a well-accepted one for Semantic Web services... Globus-based caGrid
> services are Web services invoked by SOAP, with WSDL-defined interfaces.
> Globus implements two sets of Web services features that are
> particularly important for Web-scale computing: access to stateful
> resources and secure access. In scientific computing, users want to access
> and manipulate state in service interactions. For example, scientists
> might submit a job to a scheduler and want to query the state of this
> specific job instance or get state notification when the job completes.
> The Web Service Resource Framework (WSRF) specification lets service
> clients access stateful resources. A resource-generation operation creates
> a new resource instance and returns an element called ReferenceProperties
> that identifies this instance... We use Taverna and the caGrid plug-in to
> identify relevant services, compose those services with additional
> building blocks (for data transformation), and orchestrate their execution.
> Our workflow involves three major steps: (1) Identify and retrieve the
> microarray data of interest. We used CQL, the query language that caGrid
> Data Services uses, to specify this data and retrieve it from a caArray
> data service hosted at Columbia University; (2) Preprocess, or normalize,
> the microarray data before clustering them. We used a GenePattern
> analytical service; (3) Run hierarchical clustering on the preprocessed
> data. We invoked the geWorkbench analytical service Columbia University
> hosts...
>
> http://tinyurl.com/55rstd
>
> ----------------------------------------------------------------------
> ...
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