Research on Semantic Composition of Smart Government Services Based on Abstract Services
Smart government widely integrates heterogeneous business systems to provide intelligent applications, and improving interdepartmental government coordination capability is a key technical issue that needs to be solved urgently. Service composition technology based on SOA architecture is a good solution. However, due to the inherent heterogeneity and huge scale of smart government, the state space of service composition is very large, which is a great challenge to the efficiency and accuracy of problem solving. Based on analysis of the existing service composition research methods, combined with the domain characteristics of smart government, this paper studies and constructs an abstract government Web service template to reduce the scale of state space for service composition problem. Furthermore, a semantic-based service composability measurement is studied to select service solutions to improve the accuracy.
KeywordsSmart government Service composition AND/OR graph Abstract services
This work is supported by the Provincial Joint Fund of Guizhou (Grant LH20147631), the Talent Introduction Project of Guizhou University (Grant No. 2014-33) and the Talent Introduction Project of Guizhou University (Grant No. 2015-29).
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