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Context interchange: overcoming the challenges of large-scale interoperable database systems in a dynamic environment
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Proceedings of the third international conference on Information and knowledge management table of contents
Gaithersburg, Maryland, United States
Pages: 337 - 346  
Year of Publication: 1994
ISBN:0-89791-674-3
Authors
Cheng Hian Goh  Sloan School of Management, Massachusetts Institute of Technology
Stuart E. Madnick  Sloan School of Management, Massachusetts Institute of Technology
Michael D. Siegel  Sloan School of Management, Massachusetts Institute of Technology
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
NIST : National Institue of Standards & Technology
UMBC : U of MD Baltimore County
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 45,   Citation Count: 20
Additional Information:

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ABSTRACT

Research in database interoperability has primarily focused on circumventing schematic and semantic incompatibility arising from autonomy of the underlying databases. We argue that, while existing integration strategies might provide satisfactory support for small or static systems, their inadequacies rapidly become evident in large-scale interoperable database systems operating in a dynamic environment. This paper highlights the problem of receiver heterogeneity, scalability, and evolution which have received little attention in the literature, provides an overview of the Context Interchange approach to interoperability, illustrates why this is able to better circumvent the problems identified, and forges the connections to other works by suggesting how the context interchange framework differs from other integration approaches in the literature.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  20

Collaborative Colleagues:
Cheng Hian Goh: colleagues
Stuart E. Madnick: colleagues
Michael D. Siegel: colleagues