A spatial indexing method based on social perception in a distributed environment

Abstract

The invention discloses a spatial index method based on social perception in a distributed environment, relating to the index field. Spatial data is effectively divided, and the local index and the global index are constructed. The index structure is based on HDFS distributed index structure and fuses the social data in the space, which can effectively support the query in the distributed environment and make the query results more meet the requirements of users. Based on the existing R-tree-based parallel spatial index, a new spatial index with social data is constructed by integrating the social data in LBSN, which is convenient to improve the query speed and search efficiency.

Description

technical field

[0001] The invention relates to the technical field of indexing methods, in particular to a spatial indexing method based on social perception in a distributed environment. Background technique

[0002] With the development of the Internet, various social network service products have emerged as the times require. These social network services are widely used and have become the most popular applications among users. Therefore, location-based social networks also contain a large number of valuable and meaningful Location data and spatial data have gradually become an important research object of academic research. The so-called spatial data is the data containing geographical location and text information. It has become a frequent operation to query the geographic information and text information in space. Spatial keyword query is a large number of In the spatial object of the query, the geographically related and text-related data are found.

[0003] In rec...

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