Abstract
Large-scale cross-disciplinary scientific collaborations are increasingly common and require an overarching e-Science cyberinfrastructure. However, the ad hoc and incoherent integration of computational and storage resources, sensor networks, and scientific data sharing and knowledge inference models cannot effectively support cross-domain and collaborative scientific research. In this work, we design and develop a smart e-Science cyberinfrastructure which forms the key resource-sharing backbone that enables each participating scientific community to expose their sensor, computational, data, and intellectual resources in a service-oriented manner, accompanied by the domain-specific knowledge.
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References
Joseph, J., Fellenstein, C.: Grid Computing. IBM Press, USA (2004)
Sotomayor, B., Childers, L.: Globus Toolkit 4 Programming Java Services. Morgam Kaufmann, San Francisco (2006)
Leymann, F., Güntzel, K.: The business grid: Providing transactional business processes via grid services. In: Proceedings of the International Conference on Service Oriented Computing (ICSOC), Trento, Italy (2003)
McKee, P.: Grid – the ‘white knight’ for business? BT Technology Journal 23(3) (July 2005) 45–51
Zhang, L., Li, H., Lam, H.: Toward a business process grid for utility computing. In: IT Professional, IEEE Computer Society, 6(5), (September/October 2004) 62–64
Korpela, E., Werthimer, D., Anderson, D., Cobb, J., Lebofsky, M.: SETI@home – Massively distributed computing for SETI. Computing in Science & Engineering 3(January) (2001) 78–83
Alonso, G., Casati, F., Kuno, H., Machiraju, V.: Web Services: Concepts, Architectures and Applications. Springer, Berlin (2003)
Singh, M.P., Huhns, M.N.: Service-Oriented Computing Semantics, Processes, Agents. Wiley, New York (2005)
Stuckenschmidt, H.: van Harmelen, F.: Information sharing on the semantic web. Advanced Information and Knowledge Processing. Springer, Heidelberg (2005)
Uschold, M., Gruninger, M.: Ontologies: Principles, methods and applications. Knowledge Engineering Review 11(2) (1996) 93–115
Guarino, N., Carrara, M., Giaretta, P.: An ontology of meta-level categories. Proceedings of the 4th International Conference on Knowledge Representation and Reasoning (KR94), Morgan Kaufmann, San Mateo, CA (1994)
TeraGrid, http://www.teragrid.org/. Accessed 18 Jul 2010
Yamamoto, N., Nakamura, R., Yamamoto, H., Tsuchida, S., Kojima, I., Tanaka, Y., Sekiguchi, S.: GEO grid: Grid infrastructure for integration of huge satellite imagery and geosciences. In: Proceedings of the 6th IEEE/ACM International Conference on Computer and Information Technology (CIT), Seoul, Korea, (2006) 75
The London e-Science Center, http://www.lesc.ic.ac.uk. Accessed 18 Jul 2010
The Cambridge e-Science Center, http://www.escience.cam.ac.uk. Accessed 18 Jul 2010
Alper, P., Corcho, O., Kotsiopoulos, I., Missier, P., Bechhofer, S., Kuo, D., Goble, C.: S-OGSA as a reference architecture for OntoGrid and for the semantic grid. In: Proceedings of the 16th Global Grid Forum (GGF16) Semantic Grid Workshop, Athens, Greece, February (2006)
MyGrid: http://www.mygrid.org.uk/. Accessed 18 Jul 2010
Hull, D., Wolstencroft, K., Stevens, R., Goble, C., Pocock, M., Li, P., Oinn, T.: Taverna: A tool for building and running workflows of services. Nucleic Acids Research 34 (2006) 729–732
Cyberinfrastructure for the Centre for Environmental Sensing and Modeling, http://censam.mit.edu/research/res5/index.html#sec4. Accessed 18 Jul 2010
The National Weather Study Project, http://nwsp.ntu.edu.sg. Accessed 18 Jul 2010
Sensor Grid for GPS Data Processing Project, http://sensorgrid.ntu.edu.sg/gps. Accessed 18 Jul 2010
The LiveE! Project, http://www.live-e.org/en/index.html. Accessed 18 Jul 2010
e-Science Ontology, http://sensorgrid.ntu.edu.sg/SmarteScience.html. Accessed 18 Jul 2010
The Open Geospatial Consortium, http://www.opengeospatial.org. Accessed 18 Jul 2010
Semantic Web for Earth and Environmental Terminology (SWEET), http://sweet.jpl.nasa.gov/ontology. Accessed 18 Jul 2010
Geography Markup Language, http://www.opengeospatial.org/standards/gml. Accessed 18 Jul 2010
Sensor Web Enablement Working Group, http://www.opengeospatial.org/projects/groups/sensorweb. Accessed 18 Jul 2010
Sensor ML, http://www.opengeospatial.org/standards/sensorml. Accessed 18 Jul 2010
Pease, A., Niles, I., Li, J.: The suggested upper merged ontology: A large ontology for the semantic web and its applications. In: Working Notes of the AAAI-2002 Workshop on Ontologies and the Semantic Web, Edmonton, Canada, July (2002)
Russomanno, D.J., Goodwin, J.C.: OntoSensor: An Ontology for Sensor Network Application Development, Deployment, and Management, Handbook of Wireless Mesh and Sensor Networking. McGraw Hill, New York (2008)
OWL Web Ontology Language Reference, Mike Dean and Guus Schreiber, Editors, W3C Recommendation, 10 February 2004, http://www.w3.org/TR/2004/REC-owl-ref-20040210/ Latest version available at http://www.w3.org/TR/owl-ref/. Accessed 18 Jul 2010
Liu, J., Zhao, F.: Towards semantic services for sensor-rich information systems. In: Proceedings of the 2nd IEEE/CreateNet International Workshop on Broadband Advanced Sensor Networks, Boston, MA, October (2005)
OWL-S. http://www.daml.org/services/owl-s. Accessed 18 Jul 2010
Lim, H.B., Iqbal, M., Wang, W., Yao, Y.: The national weather sensor grid: A large-scale cyber-sensor infrastructure for environmental monitoring. International Journal of Sensor Networks (IJSNet), Inderscience 7(1/2) (2010) 19–36
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 numbers NRF-G-CRP-2007-02 and NRF2008IDM-IDM001-005, and the Singapore National Research Foundation (NRF) through the Singapore-MIT Alliance for Research and Technology (SMART) Center for Environmental Sensing and Modeling (CENSAM).
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Lim, H.B., Iqbal, M., Yao, Y., Wang, W. (2010). A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations. In: Chen, H., Wang, Y., Cheung, KH. (eds) Semantic e-Science. Annals of Information Systems, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5908-9_3
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