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Semantically-Enabled Large-Scale Science Data Repositories
Peter Fox1, Deborah McGuinness2,3, Don Middleton4, Luca Cinquini4, J. Anthony Darnell1, Jose Garcia1, Patrick West1, James Benedict3, and Stan Solomon1
1High Altitude Observatory, ESSL/NCAR, PO Box 3000, Boulder CO 80307-3000
pfox@ucar.edu
2Knowledge Systems, Artificial Intelligence Lab, 353 Serra Mall, Stanford University, Stanford, CA 94305
3McGuinness Associates, 20 Peter Coutts Circle, Stanford, CA 94305
dlm@cs.stanford.edu
4Scientific Computing Division, CISL/NCAR, PO Box 3000, Boulder CO 80307-3000
Abstract. Large heterogeneous online repositories of scientific information have the potential to change the way science is done today. In order for this potential to be realized, numerous challenges must be addressed concerning access to and interoperability of the online scientific data. In our work, we are using semantic web technologies to improve access and interoperability by providing a framework for collaboration and a basis for building and distributing advanced data simulation tools. Our initial scientific focus area is the solar terrestrial physics community. In this paper, we will present our work on the Virtual Solar Terrestrial Observatory (VSTO). We will present the emerging trend of the virtual observatory - a virtual integrated evolving scientific data repository - and describe the general use case and our semantically-enabled architecture. We will also present our specific implementation and describe the benefits of the semantic web in this setting. Further, we speculate on the future of the growing adoption of semantic technologies in this important application area of scientific cyberinfrastructure and semantically enabled scientific data repositories.
LNCS 4273, p. 792 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2006