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Future Generation Computer Systems
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.1109/escien...
Article . 2010 . Peer-reviewed
Data sources: Crossref
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Data sources: DBLP
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Article . 2013
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Towards a Virtual Research Environment for Language and Literature Researchers

Authors: Muhammad S. Sarwar; Tom Doherty; John P. Watt; Richard O. Sinnott;

Towards a Virtual Research Environment for Language and Literature Researchers

Abstract

Language and literature researchers use variety of data resources in order to conduct their day-to-day research. Such resources include dictionaries, thesauri, corpora, images, audio and video collections. These resources are typically distributed, and comprise non-interoperable repositories of data that are often license protected. In this context, researchers conduct their research through direct access to individual resources. This form of research is non-scalable, time consuming and often frustrating to the researchers. The JISC funded project Enhancing Repositories for Language and Literature Researchers (ENROLLER, http://www.gla.ac.uk/enroller/) aims to address by provision of an interactive, research infrastructure providing seamless access to major language and literature repositories. This paper describes this infrastructure and the services that have been developed to overcome the issues in access and use of digital resources in humanities. In particular, we describe how high performance computing facilities including the UK e-Science National Grid Service (NGS, http://www.ngs.ac.uk) have been exploited to support advanced, bulk search capabilities, implemented using Google’s MapReduce algorithm. We also describe our experiences in the use of the resource brokering Workload Management System (WMS) and the Virtual Organization Membership Service (VOMS) solutions in this space. Finally we outline the experiences from the arts and humanities community on the usage of this infrastructure.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
bronze