DERIVING LONG-TERM VALUE FROM CONTEXT-AWARE COMPUTING.

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Názov: DERIVING LONG-TERM VALUE FROM CONTEXT-AWARE COMPUTING.
Autori: Banavar, Guruduth, Black, Jay, Cáceres, Ramón, Ebling, Maria, Stern, Edie, Kannry, Joseph
Zdroj: Information Systems Management; Fall2005, Vol. 22 Issue 4, p32-42, 11p, 1 Diagram
Predmety: BUSINESS enterprises, COMPUTER systems, ELECTRONIC systems, MEDICAL databases, INFORMATION storage & retrieval systems, MIDDLEWARE
Abstrakt: Modern businesses are increasingly dynamic in nature, which creates a need for computer systems that can sense and respond to rapid changes in the environment, or "context," of the enterprise. This article presents the authors' vision of a context "ecosystem" that helps enterprises, applications, and developers respond to these dynamic changes and derive long-term value from context information. The ecosystem includes providers of raw context information, components that derive more abstract context information from lower level sources, middleware that provides systematic context services to applications, development tools, and context-aware applications. [ABSTRACT FROM AUTHOR]
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Databáza: Complementary Index
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Abstrakt:Modern businesses are increasingly dynamic in nature, which creates a need for computer systems that can sense and respond to rapid changes in the environment, or "context," of the enterprise. This article presents the authors' vision of a context "ecosystem" that helps enterprises, applications, and developers respond to these dynamic changes and derive long-term value from context information. The ecosystem includes providers of raw context information, components that derive more abstract context information from lower level sources, middleware that provides systematic context services to applications, development tools, and context-aware applications. [ABSTRACT FROM AUTHOR]
ISSN:10580530
DOI:10.1201/1078.10580530/45520.22.4.20050901/90028.4