A knowledge acquisition approach for multi-autonomic objects flexible workflow
Dongbo Wang, Xiu-Tian Yan, Bing Chen, Yangxi Fan · 2009
The multi-autonomic objects flexible workflow is a flexible workflow with Autonomic Objects (AO) embedded in workflow activities, AO can improve the intelligence of flexible workflow by using of autonomic computing technology. In order to benefit the autonomic computing of AO, a knowledge acquisition approach based on rough set is proposed to acquire knowledge in flexible workflow instance. The AO and multi-autonomic objects flexible is introduced at first, then the AO knowledge acquisition architecture is designed and application of rough set is investigated, and a AO inference learning approach based on rough set is studied further to improve the known knowledge, finally the knowledge acquisition approach in demonstrated in a multi-autonomic objects flexible workflow and the results shows that this approach can acquire knowledge satisfactorily.