DocumentCode
2509682
Title
Knowledge-based support services: monitoring and adaptation
Author
Delic, Kemal A. ; Dayal, Umeshwar
Author_Institution
Hewlett-Packard Corp., USA
fYear
2000
fDate
2000
Firstpage
1097
Lastpage
1101
Abstract
Knowledge management (KM) is a combination of several techniques and processes for creation, sharing and dissemination of knowledge within an enterprise. According to published reports, KM is a key ingredient in any successful customer support service business. It impacts positively the productivity of support personnel, improves the quality of their decision making, enables the extraction of knowledge from various repositories, and represents the core of automatic problem solving. The majority of the known KM systems deliver services in an open-loop fashion, where the impact of the system deployment on users or on the application domain is not known or controlled. In this paper, we report a knowledge-based system (KBS) that was deployed within Hewlett Packard Corporation to deliver customer support services. This system differs from others in that the monitoring loop is closed. This enables the support system to adapt based on observed usage patterns and evolving needs
Keywords
business data processing; data warehouses; decision support systems; knowledge based systems; marketing data processing; Hewlett Packard Corporation; adaptation; automatic problem solving; customer support service business; decision making; enterprise; evolving needs; knowledge creation; knowledge dissemination; knowledge extraction; knowledge management; knowledge repositories; knowledge sharing; knowledge-based support services; knowledge-based system; monitoring loop; productivity; support personnel; Automatic control; Control systems; Decision making; Knowledge based systems; Knowledge management; Monitoring; Open loop systems; Personnel; Problem-solving; Productivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
Conference_Location
London
ISSN
1529-4188
Print_ISBN
0-7695-0680-1
Type
conf
DOI
10.1109/DEXA.2000.875163
Filename
875163
Link To Document