DERIVING LONG-TERM VALUE FROM CONTEXT-AWARE COMPUTING.
Saved in:
| Title: | DERIVING LONG-TERM VALUE FROM CONTEXT-AWARE COMPUTING. |
|---|---|
| Authors: | Banavar, Guruduth, Black, Jay, Cáceres, Ramón, Ebling, Maria, Stern, Edie, Kannry, Joseph |
| Source: | Information Systems Management; Fall2005, Vol. 22 Issue 4, p32-42, 11p, 1 Diagram |
| Subject Terms: | BUSINESS enterprises, COMPUTER systems, ELECTRONIC systems, MEDICAL databases, INFORMATION storage & retrieval systems, MIDDLEWARE |
| Abstract: | 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] |
| Copyright of Information Systems Management is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
Be the first to leave a comment!
Full Text Finder
Nájsť tento článok vo Web of Science