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A Web Visualization System of Cyberinfrastructure Resources

  • Conference paper
Web Information Systems and Mining (WISM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7529))

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Abstract

With the development of cyberinfrastructure (CI), the massive heterogeneous resources emerge gradually. The resources are multi-source, heterogeneous and spatiotemporally distributed. Traditional structural management of resources has been unable to meet the needs of global resource sharing because of the lack of efficiency in expressing spatiotemporal features of CI. Since the CI resources leap over time and space, it is essential to establish a unified spatiotemporal metadata model for CI services across different disciplines. The adoption of a system with intuitive resource visualization and management would aid interoperability and collaboration of scientific research activities among organizations and domains. In this paper, we propose a spatiotemporal metadata model which characterizes the resources as spatial entities with time and space dimensions. Furthermore, a web-based GIS platform is implemented for spatiotemporal visualization. The well-known data, computing and network resources are used as the cases in the model and the visualization system. This allows the easy integration of emerging CI services into the system. Our work here would provide the scientists with great benefits for the integration, management, spatiotemporal analysis of CI resources and auxiliary optimization of resource distribution.

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, Y., Wu, K., Guo, D., Xiang, W., Yan, B. (2012). A Web Visualization System of Cyberinfrastructure Resources. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds) Web Information Systems and Mining. WISM 2012. Lecture Notes in Computer Science, vol 7529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33469-6_43

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  • DOI: https://doi.org/10.1007/978-3-642-33469-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33468-9

  • Online ISBN: 978-3-642-33469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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