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Enabling Global Collaboration Through e-Science and Semantic Grid Infrastructure

This document discusses the vision of e-Science, emphasizing global collaboration in scientific research efficient shared infrastructures. It covers the need for a flexible and secure resource-sharing grid that connects individuals, institutions, and resources into virtual organizations. The paper highlights the importance of automation, machine-understandable web technologies, and the reuse of data, services, and software. It emphasizes future computing possibilities driven by virtualization, self-managing infrastructures, and semantic frameworks that facilitate interoperability in distributed systems.

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Enabling Global Collaboration Through e-Science and Semantic Grid Infrastructure

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  1. Introduction David De Roure

  2. Visions • e-Science e-Science is about global collaboration in key areas of science and the next generation of infrastructure that will enable it • Grid “…flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources - what we refer to as virtual organizations” SKG2005

  3. Requirements • These visions require an infrastructure for flexible, coordinated resource sharing • They are about joining resources up, automatically, in order to do things that weren’t possible before • We wish to reuse • Data, Services, Knowledge, Software • Anticipated use and Unanticipated use SKG2005

  4. On demand transparently constructed multi-organisational federations of distributed services Distributed computing middleware Computational Integration • An automatically processable, machine understandable web • Distributed knowledge and information management • Information integration Two infrastructure enablers Goble SKG2005

  5. WWW2002 SKG2005

  6. SKG2005 Semantic Grid Semantics &Knowledge Scale of Interoperability ClassicalWeb ClassicalGrid Scale of data and computation Based on an idea by Norman Paton SKG2005

  7. Grid Computing The Semantic Grid The Semantic Web Web Services Semantics in and on the Grid SKG2005

  8. Motivation • Future visions of computing involve Virtualisation • Raising the level of abstraction over scale and heterogeneity of resources • This requires automation • Self-managing, Self-configuring, Self-healing • This requires machine processable descriptions and content • This requires semantics and knowledge • This requires SKG2005 ! SKG2005

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