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Research on Semantic Composition of Smart Government Services Based on Abstract Services

  • Youming Hu
  • Xue QinEmail author
  • Benliang Xie
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1084)

Abstract

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.

Keywords

Smart government Service composition AND/OR graph Abstract services 

Notes

Acknowledgments

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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Big Data and Information EngineeringGuizhou UniversityGuiyangChina

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