caa a22 4500 606228861 CHVBK 20210128101206.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10796-013-9464-3 doi (NATIONALLICENCE)springer-10.1007/s10796-013-9464-3 Failure recovery in distributed model composition with intelligent assistance [Elektronische Daten] [Hui Huang, Xueguang Chen, Zhiwu Wang] Composite models in Decision Support Systems (DSS) are combinations of model functions to solve complex decision problems. They must be executed successfully to obtain the desired results. Unfortunately, faults may happen during its execution due to the dynamic networks or the information asymmetry between developers and users. Therefore, designing effective failure recovery mechanism to ensure the reliability of the composite model execution is essential. Progress has been made in the web service composition field to obtain limited failure recovery capabilities, but not fully applicable to composite models since model services are informational services in essence which do not change the world conditions. This paper proposes a unified framework, integrated with a process ontology and multiple recovery strategies that can provide valuable failure recovery recommendations intelligently. The recovery strategies have been greatly enhanced in providing greater failure recovery capability. Feasibility and efficiency of this framework have been illustrated and tested. Springer Science+Business Media New York, 2013 Distributed model composition nationallicence Failure recovery nationallicence Semantic web nationallicence AI planning nationallicence Huang Hui Department of Control Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut Chen Xueguang Department of Control Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut Wang Zhiwu Department of Computer Science and Engineering, Henan Institute of Engineering, 451191, Zhengzhou, China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/3(2015-06-01), 673-689 1387-3326 17:3<673 2015 17 10796 https://doi.org/10.1007/s10796-013-9464-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-013-9464-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Huang Hui Department of Control Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Chen Xueguang Department of Control Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Wang Zhiwu Department of Computer Science and Engineering, Henan Institute of Engineering, 451191, Zhengzhou, China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/3(2015-06-01), 673-689 1387-3326 17:3<673 2015 17 10796