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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.

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