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First International Conference on Semantics, Knowledge and Grid (SKG'05)
Building Sensor Filter Grids: Information Architecture for the Data Deluge
Beijing, China
November 27-November 29
ISBN: 0-7695-2534-2
Geoffrey C. Fox, Indiana University
Mehmet S. Aktas, Indiana University
Galip Aydin, Indiana University
Andrea Donnellan, Indiana University
Harshawardhan Gadgil, Indiana University
Robert Granat, NASA Jet Propulsion Laboratory
Shrideep Pallickara, Indiana University
Jay Parker, Indiana University
Marlon E. Pierce, Indiana University
Sangyoon Oh, Indiana University
John Rundle, University of California, Davis
Ahmet Sayar, Indiana University
Michael Scharber, Scripps Orbit Permanent Array Center, San Diego, CA
We discuss a general architectural approach to knowledge and information management and delivery in distributed systems. Our approach is based on the recognition that time-stamped, streaming information message units form the core of seemingly disparate systems that range from online sensors and scientific instruments to Web information retrieval. Globally distributable Grid services manage these information streams. Geographical Information System services provide exemplary realizations of this picture and may be used as a model for other scientific domains. With this unified architecture in place, we may begin to consider the problems of information integration as equivalent to sensor federation.
Index Terms:
distributed messaging, information systems, real time data processing, sensors
Citation:
Geoffrey C. Fox, Mehmet S. Aktas, Galip Aydin, Andrea Donnellan, Harshawardhan Gadgil, Robert Granat, Shrideep Pallickara, Jay Parker, Marlon E. Pierce, Sangyoon Oh, John Rundle, Ahmet Sayar, Michael Scharber, "Building Sensor Filter Grids: Information Architecture for the Data Deluge," skg, pp.2, First International Conference on Semantics, Knowledge and Grid (SKG'05), 2005
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