Exhibits, Demos & Posters
Knowledge Spaces and Scientific Data
Authors
- Joe Futrelle, National Center for Supercomputing Applications, University of Illinois
- Jeff Gaynor, National Center for Supercomputing Applications, University of Illinois
- Joel Plutchak, National Center for Supercomputing Applications, University of Illinois
- Peter Bajcsy, National Center for Supercomputing Applications, University of Illinois
- Jason Kastner, National Center for Supercomputing Applications, University of Illinois
- Kailash Kotwani, National Center for Supercomputing Applications, University of Illinois
- Jong Sung Lee, National Center for Supercomputing Applications, University of Illinois
- Luigi Marini, National Center for Supercomputing Applications, University of Illinois
- Rob Kooper, National Center for Supercomputing Applications, University of Illinois
- Robert E. McGrath , National Center for Supercomputing Applications, University of Illinois
- Terry McLaren, National Center for Supercomputing Applications, University of Illinois
- Yong Liu, National Center for Supercomputing Applications, University of Illinois
- James D. Myers, National Center for Supercomputing Applications, University of Illinois
Abstract
As scientific work becomes more complex, contextual information is critical to enable its use. We have developed the concept of Knowledge Spaces that manage such information and scope the space of data, metadata, and algorithms relevant to the work of a Virtual Organization (VO). This enables scientists to produce and manage descriptive metadata, process description, data provenance, as well as VO-specific quality assertions, vocabulary mappings, inferences, computation, approximations, and security policies. We have developed middleware and cooperating applications that demonstrate the potential of Knowledge Spaces in the production and dissemination of scientific data.
