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Session 7 - Catalogs & Surveys.
Display session, Monday, January 13
Metropolitan Ballroom,

[7.01] AMASE: An Astronomical Search and Discovery Engine

C. Cheung, D. Leisawitz (NASA GSFC), G. Reichert, J. Blackwell (Hughes STX), N. Roussopoulos (U. Maryland)

The Astrophysics Multispectral Archive Search Engine (AMASE) is an online data-locating service built using object- oriented data base (OODB) methodology which allows NASA multi-mission data archives to be searched easily by scientific parameters. The scientific attributes searchable in the AMASE prototype include astronomical names, positions, coordinates and classifications. We are further developing AMASE to facilitate astronomical object classification and cross-identification, and to enable astronomical knowledge discovery and data mining by applying the latest computer science technology. We will describe the new search capabilities available to the astronomical community.

If you would like more information about this abstract, please follow the link to amase.gsfc.nasa.gov. This link was provided by the author. When you follow it, you will leave the the Web space for this meeting; to return, you should use the Back button on your browser.

The author(s) of this abstract have provided an email address for comments about the abstract: ccheung@amase.gsfc.nasa.gov

Program listing for Monday