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

A distributed environment and spatial indexing technology, which is applied in database indexing, structured data retrieval, digital data information retrieval, etc., can solve the problems of large search space, high cost of data processing, high difficulty in parallel processing of spatial data, etc., to improve Search efficiency, the effect of improving query speed

Active Publication Date: 2019-01-11
NORTHEASTERN UNIV
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Problems solved by technology

[0005] With the increasing number of users, a large amount of social data is generated, and the spatial data and social data are growing exponentially, resulting in a larger and larger search space. Traditional data processing technologies have many problems when faced with such a huge amount of data. The problem is that the cost of p

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

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[0031] The present invention will be described in detail below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] LBSN adds spatial location attributes to previous social networks, and geographic information includes both the user's location at a specified time and the user's check-in or visit records at a specific time. Social network services provide comments, number of fans, and like records , and access records and other functions. In the real world, people with similar hobbies often share or like each other. According to the user's check-in location, LBSN adds location attributes to traditional social networks, so that users can share their location information ...

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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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Application Information

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IPC IPC(8): G06F16/9536G06F16/22G06Q50/00
CPCG06Q50/01
Inventor 赵相国袁野孙永佼
Owner NORTHEASTERN UNIV
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