Name
Abstract | ||
|---|---|---|
Service management is becoming more and more important within the area of IT management. How to efficiently manage and organize service in complicated IT service environments with frequent changes is a challenging issue. IT service and the related information from different sources are characterized as diverse, incomplete, heterogeneous, and geographically distributed. It is hard to consume these complicated services without knowledge assistant. To address this problem, a systematic way (with proposed toolsets and process) is proposed to tackle the challenges of acquisition, structuring, and refinement of structured knowledge. An integrated knowledge process is developed to guarantee the whole engineering procedure which utilizes Bayesian networks (BNs) as the knowledge model. This framework can be successfully applied on key tasks in service management, such as problem determination and change impact analysis, and a real example of Cisco VoIP system is introduced to show the usefulness of this method. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSC.2011.34 | IEEE T. Services Computing |
Keywords | DocType | Volume |
belief networks,complicated service,knowledge assistant,structured knowledge refinement,integrated knowledge process,structured knowledge acquisition,IT service environments,structured knowledge,IT service management,change impact analysis,Internet telephony,knowledge engineering,bayesian network-based knowledge engineering,complicated it service environment,knowledge acquisition,it service,Service management,Bayesian networks,Bayesian network-based knowledge engineering framework,knowledge model,it management,it service management,Cisco VoIP system,service management,problem determination | Journal | 6 |
Issue | ISSN | Citations |
1 | 1939-1374 | 3 |
PageRank | References | Authors |
0.40 | 8 | 6 |