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Proceedings Paper

DataHub: knowledge-based science data management for exploratory data analysis
Author(s): Thomas H. Handley; Mark R. Rubin; Y. Philip Li
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Paper Abstract

It is our belief that new modes of research and new tools are required to handle the massive amount of diverse data that is to be stored, organized, accessed, distributed, visualized, and analyzed in this decade. The fundamental innovation required is the integration of three automation technologies: viz. knowledge-based expert systems, science visualization and science data management. This integration is based on a concept called the DataHub. In order to prove the concept, a series of software prototypes are being implemented. On the basis of used comments DataHub is continually changing. The current changes in philosophy and design are described here, including two major changes made to the Motif/X Windows DataHub interface. Additionally, because of the drawbacks of the current implementation in label or file recognition, an expert system is being investigated. Finally, short and long term design and implementation issues are discussed.

Paper Details

Date Published: 15 November 1993
PDF: 12 pages
Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); doi: 10.1117/12.161564
Show Author Affiliations
Thomas H. Handley, Jet Propulsion Lab. (United States)
Mark R. Rubin, Jet Propulsion Lab. (United States)
Y. Philip Li, The Aerospace Corp. (United States)


Published in SPIE Proceedings Vol. 1938:
Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data
Pat S. Chavez; Robert A. Schowengerdt, Editor(s)

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