The Language Application Grid and Galaxy
16770Authors
nan
Abstract
AbstractThe NSF-SI2-funded LAPPS Grid project is a collaborative effort among Brandeis University, Vassar College, Carnegie-Mellon University (CMU), and the Linguistic Data Consortium (LDC), which has developed an open, web-based infrastructure through which resources can be easily accessed and within which tailored language services can be efficiently composed, evaluated, disseminated and consumed by researchers, developers, and students across a wide variety of disciplines. The LAPPS Grid project recently adopted Galaxy (Giardine et al., 2005), a robust, well-developed, and well-supported front end for workflow configuration, management, and persistence. Galaxy allows data inputs and processing steps to be selected from graphical menus, and results are displayed in intuitive plots and summaries that encourage interactive workflows and the exploration of hypotheses. The Galaxy workflow engine provides significant advantages for deploying pipelines of LAPPS Grid web services, including not only means to create and deploy locally-run and even customized versions of the LAPPS Grid as well as running the LAPPS Grid in the cloud, but also access to a huge array of statistical and visualization tools that have been developed for use in genomics research.
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The Language Application Grid and Galaxy Nancy Ide∗, James Pustejovsky∗∗, Keith Suderman∗ Marc Verhagen∗∗, Chris Cieri†, Eric Nyberg‡ ∗Vassar College, ∗∗Brandeis University, †Linguistic Data Consortium, ‡Carnegie-Mellon University ∗Poughkeepsie, NY USA, ∗∗Waltham, Mass. USA, †Philadelphia, PA USA, ‡Pittsburgh, PA USA {ide,suderman}@cs.vassar.edu, {jamesp,marc}@cs.brandeis.edu, ccieri@ldc.upenn.edu, ehn@cs.cmu.edu Abstract The NSF-SI2-funded LAPPS Grid project is a collaborative effort among Brandeis University, Vassar College, Carnegie-Mellon University (CMU), and the Linguistic Data Consortium (LDC), which has developed an open, web-based infrastructure through which resources can be easily accessed and within which tailored language services can be efficiently composed, evaluated, disseminated and consumed by researchers, developers, and students across a wide variety of disciplines. The LAPPS Grid project recently adopted Galaxy (Giardine et al., 2005), a robust, well-developed, and well-supported front end for workflow configuration, management, and persistence. Galaxy allows data inputs and processing steps to be selected from graphical menus, and results are displayed in intuitive plots and summaries that encourage interactive workflows and the exploration of hypotheses. The Galaxy workflow engine provides significant advantages for deploying pipelines of LAPPS Grid web services, including not only means to create and deploy locally-run and even customized versions of the LAPPS Grid as well as running the LAPPS Grid in the cloud, but also access to a huge array of statistical and visualization tools that have been developed for use in genomics research. Keywords: Web services, Interoperability, Workflow management 1. Overview The NSF-SI2-funded LAPPS Grid project1 is a collabo- rative effort among Brandeis University, Vassar College, Carnegie-Mellon University (CMU), and the Linguistic Data Consortium (LDC) at the University of Pennsylva- nia, which has developed an open, web-based infrastruc- ture through which massive and distributed resources can be easily accessed, in whole or in part, and within which tai- lored language services can be efficiently composed, evalu- ated, disseminated and consumed by researchers, develop- ers, and students across a wide variety of disciplines (Ide et al., 2014). The LAPPS Grid is part of a larger multi- way international collaboration including key individuals and projects from the U.S., Europe, Australia, and Asia involved with language resource development and distri- bution and standards-making, who are creating the “The Federated Grid of Language Services” (FGLS) federation (Ishida et al., 2014), a multi-lingual, international network of web service grids and providers. We have also recently entered into a formal partnership with WebLicht/T¨ubingen and LINDAT/CLARIN (Prague) to create a “trust network” among our sites in order to provide mutual access to all from any one of the three portals. The key to the success of these partnerships is the interoperability among tools and services that is accomplished via the service-oriented archi- tecture and the development of common vocabularies and multi-way mappings that has involved key researchers from around the world for over a decade2. 1http://www.lappsgrid.org 2E.g., the NSF-funded Sustainable Interoperability for Lan- guage Technology (SILT) project (NSF-INTEROP 0753069) (Ide et al., 2009), the EU-funded Fostering Language Resources Net- work (FLaReNet) project (Calzolari et al., 2009), the International Standards Organization (ISO) committee for Language Resource Management …
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AbstractThe NSF-SI2-funded LAPPS Grid project is a collaborative effort among Brandeis University, Vassar College, Carnegie-Mellon University (CMU), and the Linguistic Data Consortium (LDC), which has developed an open, web-based infrastructure through which resources can be easily accessed and within which tailored language services can be efficiently composed, evaluated, disseminated and consumed by researchers, developers, and students across a wide variety of disciplines. The LAPPS Grid project recently adopted Galaxy (Giardine et al., 2005), a robust, well-developed, and well-supported front end for workflow configuration, management, and persistence. Galaxy allows data inputs and processing steps to be selected from graphical menus, and results are displayed in intuitive plots and summaries that encourage interactive workflows and the exploration of hypotheses. The Galaxy workflow engine provides significant advantages for deploying pipelines of LAPPS Grid web services, including not only means to create and deploy locally-run and even customized versions of the LAPPS Grid as well as running the LAPPS Grid in the cloud, but also access to a huge array of statistical and visualization tools that have been developed for use in genomics research.
Publication Details
- Paper ID:
- 16770
- Year:
- 2016
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan