Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications

This paper aims to illustrate the potential benefits for academic end-users of integrating existing efforts around describing, building, and using Grid infrastructures. It shows that UK e-Science and e-Social Science projects, among others, can be documented with different levels of user abstraction...

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Main Authors: Argüello Casteleiro, M, Ekin, P, Peters, S
Format: Conference item
Language:English
Published: 2008
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author Argüello Casteleiro, M
Ekin, P
Peters, S
author_facet Argüello Casteleiro, M
Ekin, P
Peters, S
author_sort Argüello Casteleiro, M
collection OXFORD
description This paper aims to illustrate the potential benefits for academic end-users of integrating existing efforts around describing, building, and using Grid infrastructures. It shows that UK e-Science and e-Social Science projects, among others, can be documented with different levels of user abstraction to facilitate understanding and sharing of the expertise acquired when using Grids and developing Grid-based e-Science and e-Social Science applications. The research study presented uses three existing service-oriented approaches to test the viability of capturing and abstracting the Grid services used in a particular project, and thereby, going beyond document-centric approaches. Each of the three approaches exhibits different levels of abstraction and formalisation and is illustrated by a Grid-based application from the Social Sciences. This example is used to underpin the proposal that it is time to move towards the creation of a collective Knowledge Base that goes beyond presenting projects solely in the scientific literature.
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spelling oxford-uuid:d55fe2c7-9f27-4d62-967b-1ab478039d352022-03-27T08:25:25ZTowards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applicationsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:d55fe2c7-9f27-4d62-967b-1ab478039d35EnglishOxford University Research Archive - Valet2008Argüello Casteleiro, MEkin, PPeters, SThis paper aims to illustrate the potential benefits for academic end-users of integrating existing efforts around describing, building, and using Grid infrastructures. It shows that UK e-Science and e-Social Science projects, among others, can be documented with different levels of user abstraction to facilitate understanding and sharing of the expertise acquired when using Grids and developing Grid-based e-Science and e-Social Science applications. The research study presented uses three existing service-oriented approaches to test the viability of capturing and abstracting the Grid services used in a particular project, and thereby, going beyond document-centric approaches. Each of the three approaches exhibits different levels of abstraction and formalisation and is illustrated by a Grid-based application from the Social Sciences. This example is used to underpin the proposal that it is time to move towards the creation of a collective Knowledge Base that goes beyond presenting projects solely in the scientific literature.
spellingShingle Argüello Casteleiro, M
Ekin, P
Peters, S
Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications
title Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications
title_full Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications
title_fullStr Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications
title_full_unstemmed Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications
title_short Towards a collective Knowledge Base: sharing the expertise acquired on developing Grid-based e-Science and e-Social Science applications
title_sort towards a collective knowledge base sharing the expertise acquired on developing grid based e science and e social science applications
work_keys_str_mv AT arguellocasteleirom towardsacollectiveknowledgebasesharingtheexpertiseacquiredondevelopinggridbasedescienceandesocialscienceapplications
AT ekinp towardsacollectiveknowledgebasesharingtheexpertiseacquiredondevelopinggridbasedescienceandesocialscienceapplications
AT peterss towardsacollectiveknowledgebasesharingtheexpertiseacquiredondevelopinggridbasedescienceandesocialscienceapplications