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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
