Abstract
Large-scale cross-disciplinary scientific collaborations require an overarching semantics-based and service-oriented cyberinfrastructure. However, the ad hoc and incoherent integration of computational and storage resources, data sources from sensor networks, as well as scientific data sharing and knowledge inference models cannot effectively support cross-domain and collaborative scientific research. Thus, we propose an integrated ontology management and data sharing framework which builds upon the advancements in object-oriented database design, semantic Web, and service-oriented architecture to form the key data sharing backbone. The framework has been implemented to cater for data sharing needs for large-scale sensor deployments from disparate scientific domains. This enables each participating scientific community to publish, search, and access the data across the cyberinfrastructure in a service-oriented manner, accompanied by the domain-specific knowledge.
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Acknowledgments
This work was supported by Microsoft Research, Intelligent Systems Center of Nanyang Technological University, Research Support Office of Nanyang Technological University, the Singapore National Research Foundation (NRF) under grant number NRF2008IDM-IDM001-005, and the Singapore NRF through the Singapore-MIT Alliance for Research and Technology (SMART) Center for Environmental Sensing and Modeling (CENSAM).
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Iqbal, M., Wang, W., Fu, C., Lim, H.B. (2011). An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure. In: Yang, X., Wang, L., Jie, W. (eds) Guide to e-Science. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-0-85729-439-5_7
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DOI: https://doi.org/10.1007/978-0-85729-439-5_7
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