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ACQUIRE: Agent-based Complex QUerying and Information Retrieval Engine

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS2-02050
Agency Tracking Number: 000556
Amount: $599,997.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Subrat Das
 Principal Scientist
 (617) 491-3474
 sdas@cra.com
Business Contact
 Greg L. Zacharias
Title: President
Phone: (617) 491-3474
Email: glz@cra.com
Research Institution
N/A
Abstract

The heterogeneous, distributive, and voluminous nature of NASA¿s Earth science data archives impose severe constraints on meeting the diverse requirements of thousands of users who analyze the data. Additionally, communication bandwidth limitations, time constraints, and a multiplicity of archives impose further restrictions on users and systems. What is required is a reliable, robust and efficient technique that can be integrated within NASA¿s existing data servers for enhancing query support to archive users. We propose to design and prototype an Agent-based Complex QUerying and Information Retrieval Engine (ACQUIRE) for heterogeneous and distributed Earth science data sources over the Internet, while maintaining the autonomy of individual data sources. ACQUIRE translates a user query to a set of sub-queries by deploying a combination of planning and traditional database query optimization techniques. ACQUIRE first spawns a set of intelligent autonomous mobile search agents corresponding to these sub-queries for retrieving data from several Distributed Active Archive Centers (DAACs) (e.g., such as the Alaska SAR Facility (ASF)). The engine then filters and merges data from these agents and returns the answers to the query. The proposed approach will build on existing data servers and meta-database catalogs of NASA¿s Earth Observing System Data and Information System (EOSDIS).

* Information listed above is at the time of submission. *

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