Multi-user decided spatial data query and verification method

Abstract

The invention discloses a multi-user decided spatial data query and verification method comprising a spatial data processing step S1, a query data giving step S2, a query initialization step S3, a data query step S4, and a data verification step S5. The multi-user decided spatial data query and verification method provided by the invention can be applied to a multi-user decided scenario. Users in a group each get a good result according to the location and hobbies thereof. An effective, complete and correct method is provided for multi-user based large-amount spatial data query and verification in a big data environment.

Description

technical field The invention relates to a method for querying and verifying spatial data decided by multiple users. Background technique With the popularization of location-based services, various organizations, companies and even individuals (referred to as DOs) begin to collect and own a large amount of spatial data; processing such a large amount of spatial data has brought great technical and economic challenges to data owners ; In the process of data management and query, DOs tend to outsource data to third parties instead of building their own technical teams and basic frameworks; because it reduces the huge burden of DOs in the data management process, data outsourcing has the potential to provide More effective and cost-effective services; in the process of data outsourcing, DO delegates its own data to a service provider (SP), and SP builds an index for the data and feeds back the user's query requirements; because the server is not within the scope of DO's managem...

AI Technical Summary

Problems solved by technology

Existing data query methods such as k-Nearest Neighbors query and Skyline query cannot be applied to the scenario where multiple users decide, that is, a group of users cannot get a best result according to their respective locations and hobbies

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