Title
Contextual Graphs For A Real-World Decision Support System
Abstract
Decision support systems that capture, preserve, and reuse implicit knowledge can greatly benefit from explicitly using context. The development of this type of system can benefit from a context-based knowledge representation paradigm to be effective in real-world applications. This paper describes how the implementation of the contextual graphs formalism in the AlexDSS system addresses the system's use of context. Contextual graphs explicit use of context combats the common user interaction problems of irrelevancy and redundancy that plague knowledge-based systems. The development of AlexDSS supports the notion that the contextual graphs formalism is a viable solution for a real-world decision support system. This paper discusses how contextual graphs are employed in decision support systems.
Publication Date
7-24-2006
Publication Title
FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference
Volume
2006
Number of Pages
643-648
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
33746034941 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33746034941
STARS Citation
Nguyen, Johann V.; Becker, Brian C.; and Gonzalez, Avelino J., "Contextual Graphs For A Real-World Decision Support System" (2006). Scopus Export 2000s. 8239.
https://stars.library.ucf.edu/scopus2000/8239