323,964 research outputs found

    DEEP: a provenance-aware executable document system

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    The concept of executable documents is attracting growing interest from both academics and publishers since it is a promising technology for the dissemination of scientific results. Provenance is a kind of metadata that provides a rich description of the derivation history of data products starting from their original sources. It has been used in many different e-Science domains and has shown great potential in enabling reproducibility of scientific results. However, while both executable documents and provenance are aimed at enhancing the dissemination of scientific results, little has been done to explore the integration of both techniques. In this paper, we introduce the design and development of DEEP, an executable document environment that generates scientific results dynamically and interactively, and also records the provenance for these results in the document. In this system, provenance is exposed to users via an interface that provides them with an alternative way of navigating the executable document. In addition, we make use of the provenance to offer a document rollback facility to users and help to manage the system's dynamic resources

    Weaving the Pervasive Information Fabric

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    As the pervasive computing infrastructure emerges, we consider the impact on information applications and their middleware requirements ? what we call the pervasive information fabric. In particular, we consider the evolution of hypermedia link services to support the structuring of ad hoc information spaces. We describe a prototype implementation of an ad hoc distributed link service using a tuple-space model

    The Collaborative Semantic Grid

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    Grid and Semantic Web technologies both enable heterogeneous resources to be joined up to achieve new functionality and capability, and their combined effectiveness has been demonstrated through a number of ‘Semantic Grid’ projects. These typically apply Semantic Web technologies in Grid applications, in a datagrid or within the Grid middleware. In this paper we suggest how both approaches also support distributed collaborative endeavours, and explore their combined role. We illustrate this ‘Collaborative Semantic Grid’ through a number of case studies, and contemplate the changing nature of collaboration as these technologies evolve
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