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8th International Conference on Scientific and Statistical Database Management (SSDBM '96)
Data and Information Architectures for Large-Scale Distributed Data Intensive Information Systems
Stockholm, SWEDEN
June 18-June 20
ISBN: 0-8186-7264-1
| ASCII Text | x | ||
| Larry Kerschberg, Hassan Gomaa, Daniel Menasc, Jong Pil Yoon, "Data and Information Architectures for Large-Scale Distributed Data Intensive Information Systems," Scientific and Statistical Database Management, International Conference on, pp. 226, 8th International Conference on Scientific and Statistical Database Management (SSDBM '96), 1996. | |||
| BibTex | x | ||
| @article{ 10.1109/SSDM.1996.506065, author = {Larry Kerschberg and Hassan Gomaa and Daniel Menasc and Jong Pil Yoon}, title = {Data and Information Architectures for Large-Scale Distributed Data Intensive Information Systems}, journal ={Scientific and Statistical Database Management, International Conference on}, volume = {0}, year = {1996}, isbn = {0-8186-7264-1}, pages = {226}, doi = {http://doi.ieeecomputersociety.org/10.1109/SSDM.1996.506065}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Scientific and Statistical Database Management, International Conference on TI - Data and Information Architectures for Large-Scale Distributed Data Intensive Information Systems SN - 0-8186-7264-1 SP EP A1 - Larry Kerschberg, A1 - Hassan Gomaa, A1 - Daniel Menasc, A1 - Jong Pil Yoon, PY - 1996 KW - Large-Scale Systems KW - Data-Intensive Systems KW - Architectures KW - EOSDIS VL - 0 JA - Scientific and Statistical Database Management, International Conference on ER - | |||
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.
Index Terms:
Large-Scale Systems, Data-Intensive Systems, Architectures, EOSDIS
Citation:
Larry Kerschberg, Hassan Gomaa, Daniel Menasc, Jong Pil Yoon, "Data and Information Architectures for Large-Scale Distributed Data Intensive Information Systems," ssdbm, pp.226, 8th International Conference on Scientific and Statistical Database Management (SSDBM '96), 1996
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