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Research on smart city service system based on adaptive algorithm

  • Yin Zhang
  • Xin Gu
Article

Abstract

The information resources of various departments are limited, resulting in duplication of information systems and extensive redundancy of hardware and software resources. In order to change the above status, catalogue management service system for smart city is introduced. In addition, the structural level of government information resources is analyzed. Cloud platform, information recommendation, string similarity matching and other technologies are used to connect and share the system information of the departmental government. In this case, the catalogue information resources are used wisely. The LPvA-Index index structure is given based on the existing Gram–Trie tree. LPvA-Index adaptively selects the appropriate length of the Prefix filter, resulting in fewer inverted tables. In addition, filters are used during reads, thus reducing the number of candidate sets and increasing the query efficiency of strings. At the same time, the length segmentation and location segmentation methods are applied to the Gram–Trie tree. Finally, the test platform is built. The efficiency of the LPvA-Index index structure and the existing LPA-Index index structure under certain conditions is tested and compared.

Keywords

Smart city Service system String similarity search Index 

Notes

Acknowledgements

The authors acknowledge the National Natural Science Foundation of China (Grant: 111578109), the National Natural Science Foundation of China (Grant: 11111121005).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduChina

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