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A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management
First Quarter 2013 (vol. 6 no. 1)
pp. 76-88
| ASCII Text | x | ||
| Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng, "A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management," IEEE Transactions on Services Computing, vol. 6, no. 1, pp. 76-88, First Quarter, 2013. | |||
| BibTex | x | ||
| @article{ 10.1109/TSC.2011.34, author = {Wei Wang and Hao Wang and Bo Yang and Liang Liu and Peini Liu and Guosun Zeng}, title = {A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management}, journal ={IEEE Transactions on Services Computing}, volume = {6}, number = {1}, issn = {1939-1374}, year = {2013}, pages = {76-88}, doi = {http://doi.ieeecomputersociety.org/10.1109/TSC.2011.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Services Computing TI - A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management IS - 1 SN - 1939-1374 SP76 EP88 EPD - 76-88 A1 - Wei Wang, A1 - Hao Wang, A1 - Bo Yang, A1 - Liang Liu, A1 - Peini Liu, A1 - Guosun Zeng, PY - 2013 KW - Knowledge engineering KW - Bayesian methods KW - Buildings KW - Data models KW - Systematics KW - Data mining KW - Information services KW - change impact analysis KW - Service management KW - Bayesian networks KW - knowledge engineering KW - problem determination VL - 6 JA - IEEE Transactions on Services Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSC.2011.34
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.
Index Terms:
Knowledge engineering,Bayesian methods,Buildings,Data models,Systematics,Data mining,Information services,change impact analysis,Service management,Bayesian networks,knowledge engineering,problem determination
Citation:
Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng, "A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management," IEEE Transactions on Services Computing, vol. 6, no. 1, pp. 76-88, First Quarter 2013, doi:10.1109/TSC.2011.34
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