Data and Information Architectures for Large-Scale Distributed Data Intensive Information Systems (Position Paper)

  • Authors:
  • Larry Kerschberg;Hassan Gomaa;Daniel A. Menascé;Jong P. Yoon

  • Affiliations:
  • -;-;-;-

  • Venue:
  • SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
  • Year:
  • 1996

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Abstract

The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of large-scale, geographically distributed, and data intensive systems. This paper presents various facets of a data and information architecture for EOSDIS. EOS data is organized by means of an object-oriented schema, while EOS knowledge is organized through multiple domain-specific thesauri, complemented by domain knowledge and rules. The information holdings are organized into the source data archives, a data warehouse which provides an integrated view of the information holdings, and information marts which generate value-added information products for specialized user communities. Finally a federated client-server architecture is proposed to allow non-EOSDIS systems to become members of the EOSDIS community, allowing them to access EOSDIS holdings, and sharing their own data with EOSDIS.